Wednesday, April 23, 2025

 

 Could this molecule be “checkmate” for coronaviruses like SARS-CoV-2?



UCSF’s Antiviral Drug Discovery (AViDD) Center develops powerful drug candidates that could head off future coronavirus pandemics




University of California - San Francisco





A team at UC San Francisco and Gladstone Institutes has developed new drug candidates that show great promise against the virus that causes COVID-19 and potentially other coronaviruses that could cause future pandemics.

In preclinical testing, the compounds performed better than Paxlovid against SARS-CoV-2 and the Middle East Respiratory Syndrome (MERS) virus, which periodically causes deadly outbreaks around the world.

“In three years, we’ve moved as fast as a pharmaceutical company would have, from start to finish, developing drug candidates against a totally new pathogen,” said Charles Craik, PhD, UCSF professor of pharmaceutical chemistry and co-corresponding author of the paper, which appears April 23 in Science Advances.

“These compounds could inhibit coronaviruses in general, giving us a head start against the next pandemic,” Craik said. “We need to get them across the finish line and into clinical trials.” 

The work was funded by a grant from the National Institute of Allergy and Infectious Diseases (NIAID) to prepare for the next coronavirus epidemic – work that pharmaceutical companies have largely abandoned. But the grant to UCSF has since been terminated, and the group’s antiviral drug candidates face an uncertain future.

The discovery came out of UCSF’s Antiviral Drug Discovery (AViDD) Center for Pathogens of Pandemic Concern, which funded the work of several hundred scientists at UCSF and beyond. It is one of nine centers that NIAD created in 2022 to bolster the nation’s pandemic preparedness. 

From virtual to real-world drug candidates

Three years ago, the UCSF AViDD grant supercharged the efforts of the UCSF Quantitative Biosciences Institute (QBI) Coronavirus Research Group (QCRG). QCRG, which was founded in 2020 by QBI’s director, Nevan Krogan, PhD, brought together 800 scientists from more than 40 institutions across the world. 

From this group, he assembled hundreds of scientists from 43 labs across UCSF, Gladstone Institutes, and a wide range of domestic and international institutions – including Mount Sinai, Northwestern, MIT, the University of Toronto, the University of Alberta, University College London, Institut Pasteur, and others – and obtained one of the nine AViDD center grants in the country.

“COVID was our wake-up call to apply all our resources and know-how toward new therapies and future pandemic preparedness,” said Krogan, UCSF professor of cellular and molecular pharmacology, co-author of the paper, and a leading expert on the biology of infectious disease. “The AViDD funding, which is now in peril, was poised to help us produce potent and necessary antivirals in record time.”

For the project that led to the new SARS-CoV-2 drug candidates, Craik, who had experience designing drugs against HIV, partnered with the UCSF labs of Brian Shoichet, PhD; Adam Renslo, PhD; Kliment Verba, PhD; and Krogan, as well as Melanie Ott, PhD (Gladstone Institutes). 

The group focused on the major protease (MPro), a type of enzyme, or protease, that breaks proteins into smaller pieces like a pair of molecular scissors. SARS-CoV-2 uses MPro to trim viral proteins into usable parts, which the virus then uses to replicate in human cells. Viral proteases have often been the target of attempts to make antiviral drugs, most notably for HIV. 

Shoichet’s molecular docking program, a virtual system to test how different molecules interact with proteins, helped the team identify a few dozen molecular structures, out of millions, that mildly blocked MPro – a starting point for developing real-world drug candidates.

The Renslo lab then synthesized hundreds of new molecules based on the virtual molecules, which the Craik lab tested against MPro in the laboratory. 

“We spent 18 months going back and forth with different molecules that fit reasonably well inside of MPro, but were still mediocre at blocking it,” Craik said. “Our progress stalled. Something had to give.”

Jamming the viral scissors

Two of Renslo’s post-doctoral researchers, Gilles DeGotte, PhD, and Luca Lizzadro, PhD, were responsible for designing and then making the new molecules in the lab. They were given a task “that in the pharmaceutical industry would have been assigned to a much larger team of medicinal chemists,” according to Renslo, who is a co-corresponding author of the paper. 

Lizzadro improved the synthesis (like a recipe) for making the molecules and found a way to make them fit more snugly into the “active site” of MPro, blocking its ability to cut proteins, like jamming open a pair of scissors.

DeGotte, meanwhile, used “click chemistry” to improve the molecules’ fit in MPro even further. This involved introducing a molecular adapter that would make it easier to swap different chemical shapes onto each new drug candidate.  

Tyler Detomasi, PhD, a post-doctoral researcher in the Craik Lab, showed that in two such molecules, named AVI-4516 and AVI-4773, the molecular adapter had, itself, bonded to the MPro active site. These molecules weren’t just a perfect fit for MPro – they were glued within the jaws of the scissors.

Fortunately, AVI-4516 and AVI-4773 didn’t block any human proteases, which are important for human health. Verba’s lab generated atomic-scale images of the compounds bound to MPro, helping the team to optimize the fit and prove that they were permanently stuck inside the viral enzyme.

“This was our lucky break and gave us some very special molecules,” Craik said. “They only react when they’re already inside this viral protease, but not to any of our own human proteases, giving us hope that they could have minimal side effects in people.”

A new generation of effective antivirals 

With rising confidence that AVI-4516 and AVI-4773 effectively blocked MPro, Ott, a virologist, tested them against live SARS-CoV-2, first in petri dishes and then in mice. 

Ott had tested hundreds of drug candidates against SARS-CoV-2 by this point.

“It’s very challenging to fight viruses in general, let alone SARS-CoV-2, but these new compounds were some of the best, if not the best, we had ever seen, in terms of eliminating infection,” said Ott, who is a co-corresponding author of the paper.

The two drug candidates looked promising as disease therapies. They potently blocked their target; they traveled efficiently through the body, ensuring they reached their target; and at least in mice, they appeared safe. 

In a tantalizing follow-up experiment, a further-optimized version of the molecules effectively blocked variants of SARS-CoV-2 like Delta, as well as MERS, a less prevalent but much more deadly coronavirus.  

The team believes their drug candidates, once shepherded through clinical trials to demonstrate safety in humans, could be kept “on the shelf” ready to fight the next pandemic caused by a coronavirus.

“These compounds are easy to modify and should be easy to manufacture,” Renslo said. “AViDD enabled us to discover important new counter measures for an important class of viral pathogens. It’s critical that we see this project through to clinical studies to ensure we’re better prepared for the next pandemic.”

Authors: Other UCSF authors are Sijie Huang, PhD, Amy Diallo, PhD, Jiapeng Li, PhD, Alicia L. Richards, PhD, Eric R. Hantz, PhD, Zain Alam,  Rajesh Gumpena, PhD, James R. Partridge, PhD, Galen J. Correy, PhD, Annemarie F. Charvat, Isabella S. Glenn, Jezrael L. Revalde, PhD, Dashiell Anderson, Michelle R. Arkin, PhD, R. Jeffrey Neitz, PhD, Danielle L. Swaney, PhD; as well as Rahul K. Suryawanshi, PhD, Francisco J. Zaptero-Belinchón, PhD, Taha Y. Taha, PharmD, PhD, Mauricio Montano, Maria McCavitt-Malvido, Yusuke Matsui, MD, PhD, and Julia Rosecrans of Gladstone Institutes, and Judd F. Hultquist, PhD of Northwestern University. 

Funding:This work was supported by the National Insitute of Allergy and Infectious Diseases (NIAID) Antiviral Drug Discovery (AViDD) grant U19AI171110, other NIAID contracts (75N93019D00021, 75N93023F00001, HHSN272201800007I), the NIH Division of Intramural research, the Roddenberry Foundation, P. and E. Taft, and Gladstone Institutes. 

 

About UCSF:The University of California, San Francisco (UCSF) is exclusively focused on the health sciences and is dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. UCSF Health, which serves as UCSF’s primary academic medical center, includes top-ranked specialty hospitals and other clinical programs, and has affiliations throughout the Bay Area. UCSF School of Medicine also has a regional campus in Fresno. Learn more at ucsf.edu or see our Fact Sheet.

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Caltech's smart bandage clears new hurdle: monitors chronic wounds in human patients



California Institute of Technology
Caltech's Smart Bandage Clears New Hurdle: Monitors Chronic Wounds in Human Patients 

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The iCares smart bandage on Wei Gao's arm. The bandage is composed of a flexible, biocompatible polymer strip that can be 3D printed at low cost.

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Credit: Lance Hayashida/Caltech




Caltech professor of medical engineering Wei Gao and his colleagues are envisioning a smart bandage of the future—a "lab on skin" that could not only help patients and caregivers monitor the status of chronic wounds but also deliver treatment and speed up the healing process for those cuts, incisions, scrapes, and burns that are slow to heal on their own.

 

In 2023, Gao's team cleared the first hurdle toward achieving that goal by showing that a smart bandage they developed could provide real-time data about chronic wounds in animal models, while also accelerating the healing process through the timely application of medication or electrical fields to stimulate tissue growth.

 

Now Gao and his colleagues from Caltech and the Keck School of Medicine of USC have cleared another hurdle by demonstrating that an improved version of their bandage, which they call iCares, was able to continually sample fluid, which the body sends to wound sites as part of the inflammatory response, in 20 human patients with chronic wounds. These wounds were not able to heal either because of diabetes or poor blood circulation; the researchers also studied additional patients before and after surgery.

 

The smart bandage, outfitted with three different microfluidic components—miniature modules that channel and otherwise control the flow of liquids—clears excess moisture from wounds while providing real-time data about biomarkers present.

 

"Our innovative microfluidics remove moisture from the wound, which helps with healing. They also make sure that samples analyzed by the bandage are fresh, not a mixture of old and new fluid. To get accurate measurements, we need to sample only the newest fluid at a wound site," says Gao, who is also a Heritage Medical Research Institute Investigator. "In this way, iCares can watch in real time for important biomarkers of inflammation and infection."

 

Indeed, in a new paper in the journal Science Translational Medicine, Gao and his colleagues show that the smart bandage can detect molecules such as nitric oxide, an indicator of inflammation; and hydrogen peroxide, a biomarker of infection; potentially one to three days before patients experience symptoms.

 

In a further advance, the team has developed a machine-learning algorithm that can successfully classify the patients' wounds and predict healing time with a level of accuracy comparable to that of an expert clinician.

 

The bandage is composed of a flexible, biocompatible polymer strip that can be 3D printed at low cost. It integrates nanoengineered biomarker sensor array, which is disposable for hygiene and single-use applications. The system also includes a reusable printed circuit board that handles signal processing and wireless data transmission to a user interface, such as a smartphone. The triad of microfluidic modules within iCares includes a membrane that sucks wound fluid from the surface of the wound, a bioinspired component that shuttles the fluid across the device onto a sensor array where it is analyzed, and a micropillar module that carries the sampled fluid away to the outside of the bandage.

 

The co-lead authors of the paper, "A microfluidic wearable device for wound exudate management and analysis in human chronic wounds," are Caltech graduate students Canran Wang and Kexin Fan. Additional authors from Caltech include Jose A. Lasalde-Ramirez, Wenzheng Heng, Jihong Min (PhD '24), Samuel A. Solomon, Jiahong Li, Hong Han, Gwangmook Kim, Soyoung Shin, and Alex Seder; former graduate students Minqiang Wang and Ehsan Shirzaei Sani, who is now at the University of Central Florida, are authors who contributed while at Caltech. Authors from the Keck School of Medicine of USC are Chia-Ding Shih (also of Casa Colina Hospital and Centers for Healthcare in Pomona, California) and David Armstrong. The work was supported by grants from the National Institutes of Health, the National Science Foundation, the American Cancer Society, the Army Research Office, US Army Medical Research Acquisition Activity, and by the Heritage Medical Research Institute. Caltech's Kavli Nanoscience Institute provided critical support and infrastructure for this work.

 

Chinese scientists prove swamp forest collapse linked to human activity





Chinese Academy of Sciences Headquarters

Sedimentary, organic carbon, and selected palynological records from GYS1 

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Sedimentary, organic carbon, and selected palynological records from GYS1. The selected taxa are categorized into montane conifers (MC), wetland trees (WT), tropical trees (TropT), south subtropical trees (SST), north subtropical trees (NST), temperate trees (TT), herbs and ferns. AP denotes arboreal pollen, while NAP denotes non-arboreal pollen. Dashed lines denote the assemblage zones identified by CONISS (constrained incremental sum of squares).

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Credit: Image by the research group.





Chinese scientists have discovered that fragile swamp forests in the Pearl River Delta (PRD) region suddenly collapsed around 2.1 thousand years ago (ka)—with human activity as the cause.

The study, led by researchers from the Guangzhou Institute of Geochemistry and the Institute of Oceanology of the Chinese Academy of Sciences, sheds new light on the role of human activity in ecosystem collapse.

Published in Science Advances, the study focuses on Glyptostrobus pensilis (G. pensilis), a critically endangered species of Chinese swamp cypress that once thrived in extensive swamp forests in the PRD. Through palynological (i.e., pollen and spore) records, chronological data, and sedimentological evidence, the team found that the collapse of these forests approximately coincided with military conquests by the Qin and Han Empires in the region.

Pollen records from sediment cores in the PRD revealed a dramatic decline in G. pensilis—from high dominance to near-extinction—indicating a sudden anthropogenic disturbance. Burn marks on the tops of standing stumps of G. pensilis are consistent with fire attacks by the Han army during its conquest of the Nanyue Realm in 111 B.C. Additionally, increases in the presence of Poaceae—a plant family comprising cereals and other grasses—as well as pioneer plants after 2.1 ka suggest large-scale migration and the adoption of advanced agricultural practices following the conquests. The conclusion that human activity played a decisive role in the forest collapse is further supported by the presence of charcoal and anthropogenic metals like copper and lead in the region.

Principal component analysis indicates that G. pensilis is highly sensitive to human activity. The loss of G. pensilis forests marked the beginning of a decline in biodiversity due to human intervention in the PRD, contributing to the local extinction of various species, including elephants, tigers, rhinoceroses, green peafowl, crocodiles, and others.

The researchers also used pollen and organic carbon records to identify previous episodes of forest degradation in the area—at 4.2 ka and 3.5 ka—from which the ecosystem later recovered.  The 4.2 ka event is a pronounced climate extreme. The 3.5 ka event was likely a regional climate extreme, as evidenced by numerous records from low latitudes and the Southern Hemisphere. The 3.5 ka event was probably caused by volcanic activity, i.e., the Santorini eruptions (VEI=7) from 3550–3577 BP. This finding illustrates the impact of climate change and deep earth processes on vegetation.

This study explores the historical roots of environmental change, revealing the lasting impact of human activity—such as war and agriculture—on a fragile ecosystem, while identifying the temporary effects of climate and deep earth processes on the same system.

The research was conducted in collaboration with Peking University and the Guangzhou Institute of Geography under the Guangdong Academy of Sciences, with support from the National Natural Science Foundation of China and the Taishan Scholar Program of Shandong Province.

 

Atomic imaging and AI offer new insights into motion of parasite behind sleeping sickness



California NanoSystems Institute
Three dimensional map 

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This image shows a three-dimensional map of the basic structural unit in the parasite Trypanosoma brucei’s flagellum, with various mechanical and motor proteins labeled. 

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Credit: California NanoSystems Institute at UCLA





Millions of people worldwide are affected by African sleeping sickness, Chagas disease and other life-threatening infections caused by microscopic parasites borne by insects such as the tsetse fly.

Each of the underlying single-celled parasites — Trypanosoma brucei and its relatives — has one flagellum, a whiplike appendage that is essential for moving, infecting hosts and surviving in different environments.

Now, a research team at the California NanoSystems Institute at UCLA, or CNSI, has applied leading-edge atomic imaging and AI-driven modeling to create the most detailed 3D map yet of the flagellum on Trypanosoma brucei, which causes sleeping sickness. The study, published in the journal Science, identified 154 different proteins that make up the flagellum, including 40 that are unique to the parasite.

By capturing the molecular motors that drive the parasite’s movement during a key transitional state, the investigators developed a new model for how they swim through blood and tissue. The findings shed light on a critical mechanism essential to Trypanosoma brucei’s survival, transmission to hosts and disease processes. This detailed view of the parasite’s flagella could help drive progress in treating the illness they cause.

“Our study provides a complete molecular blueprint of the flagellum’s structural framework, explaining how its movement is powered at an atomic level,” said co-corresponding author Z. Hong Zhou, a professor of microbiology, immunology and molecular genetics at the UCLA College and founding director of CNSI’s Electron Imaging Center for Nanosystems, or EICN. “By leveraging AI-driven structural modeling, we uncovered unique parasite-specific proteins that contribute to flagellar architecture and function.”

How the parasite was mapped using the cryoEM

The imaging technique used in the study was cryogenic-electron microscopy, or cryoEM, in which frozen biological samples are probed with electrons to reveal details impossible to capture with visible light. Maps generated with cryoEM received further analysis using artificial intelligence tools, such as an algorithm for predicting a protein’s shape based on the amino acids that make it up.

The scientists found that tiny motor-like structures in the microbe’s flagellum create motion by acting in a coordinated fashion, similar to the way rowers in a dragon boat synchronize their strokes to move through water.

“Trypanosomes have evolved specialized motion to survive in both the tsetse fly and the human bloodstream, making their flagellum a central feature of their biology,” said co-corresponding author Kent Hill, a UCLA professor of microbiology, immunology and molecular genetics and a CNSI member. “By understanding how their unique structural features contribute to movement, we gain insight into fundamental aspects of parasite adaptation and host interactions.”

This movie shows a three-dimensional map of the basic structural unit in the parasite Trypanosoma brucei’s flagellum, with various mechanical and motor proteins labeled. (Image courtesy: California NanoSystems Institute)

Potential future implications of the detailed cryoEM view of the parasite

Sleeping sickness initially manifests as fever, headaches, joint pain and itching. After the parasite reaches the central nervous system, the disease can progress to spur severe neurological symptoms.

The study may provide potential targets for therapies that effectively eliminate the parasite or block its transmission to humans, as well as give clues about how to address illnesses caused by other related microbes.

Beyond medical treatment, the insights into an understudied microbe could have impacts such as elucidating details of earlier stages in evolution and inspiring engineers who borrow from nature to inform their designs.

The study’s first author is Xian Xia, a former postdoctoral researcher and recently promoted project scientist at UCLA. Other coauthors are Michelle Shimogawa, Hui Wang, Samuel Liu, Angeline Wijono, Gerasimos Langousis, Ahmad Kassem and James Wohlschlegel, all of UCLA.

The study was supported by the National Institutes of Health and the National Science Foundation, with data collection and processing carried out at the EICN.

 

Infectious disease surveillance platform BEACON launches as a new open-source global resource




Boston University Center on Emerging Infectious Diseases




BOSTON, MA – The Biothreats Emergence, Analysis and Communications Network (BEACON) leverages advanced artificial intelligence (AI), large language models (LLMs) and a network of globally based experts to rapidly collect, analyze, and disseminate information on emerging infectious diseases affecting humans, animals, and the environment. BEACON Director, Dr. Nahid Bhadelia remarks, “BEACON comes at a time when we need more global collaboration and coordination when new biological threats appear. The platform not only reports new threats but also provides background and reasons for why a threat matters and where it should fall on our ranking of concern.”

BEACON is housed at Boston University’s Center on Emerging Infectious Diseases and operated in partnership with the Hariri Institute for Computing and Data Sciences at Boston University and HealthMap at Boston Children’s Hospital.  

“The launch of BEACON represents an exciting evolution in the field of infectious disease surveillance,” says Dr. John Brownstein, Chief Innovation Officer at Boston Children’s Hospital and a BEACON Co-Director. “By integrating HealthMap’s decades-long experience in real-time epidemic monitoring with BEACON’s novel AI-driven architecture, we’re creating a uniquely powerful, open-source tool for rapid detection and contextualization of emerging threats.”

At its launch, BEACON will be the only open-source global surveillance platform of its kind, linking public health authorities, practitioners, researchers, and the general public, rapidly and transparently sharing data and context about new threats. Like early warning systems for fires and hurricanes, BEACON’s job is to analyze and broadcast the rise of new threats. By providing near real time reports of sentinel cases, clusters and outbreaks, BEACON will enable early public health response, empower clinicians tracking recent travel and illnesses in their patients and inform communities of potential new threats. 

“BEACON is the first biothreats reporting system to leverage the power of generative AI to process and analyze outbreak reports,” says Hariri Institute Director and a BEACON Co-Director Dr. Yannis Paschalidis. He adds, “BEACON employs our own PandemIQ Llama LLM, specifically adapted and trained to optimize performance for outbreak analysis and report generation.”

BEACON has already received a total of $6 million in funding support, including contributions from the National Science Foundation, the Gates Foundation, additional private donors, and Boston University.

Beyond financial support, BEACON has also established partnerships with high level stakeholders in the public health space including the World Health Organization’s Epidemic Intelligence from Open Sources initiative, the World Organisation for Animal Health, Coalition for Epidemic Preparedness Innovations, state public health departments, and the CDC Center for Forecasting and Outbreak Analytics.

More information about BEACON can be found here

BEACON’s launch event is scheduled for April 24, 2025, 2:00 to 5:30pm, available in Boston and by Zoom, and is open to the public. The platform prototype itself is live at beaconbio.org, allowing public health experts and the general public to experience the resource and share their feedback.

BEACON is poised to become a critical tool both globally and domestically in a time of shifting priorities in funding and resources. BEACON’s values include global accessibility which is why the platform is free and available to the public.

For more information, go to beaconbio.org.

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Boston University’s Center on Emerging Infectious Diseases (CEID) is a university wide center focused on global health security and linking technical knowledge to policy issues related to emerging pathogens and epidemic threats. CEID’s core mission is to improve resilience against the threat of emerging & epidemic infectious diseases worldwide through public health and policy research, global and local capacity strengthening, training, evidence generation for policy support, and community engagement.

 

Helping computers perceive and interact with the visual world



Inria’s Cordelia Schmid honored for key techniques underlying computer vision



Association for Computing Machinery




ACM, the Association for Computing Machinerytoday named Cordelia Schmid, Research Director at Inria, the French National Institute for Research in Digital Science and Technology, as the 2025-2026 ACM Athena Lecturer. Schmid is recognized for outstanding contributions to computer vision in image retrieval, object recognition, and video understanding. Her work has helped computers understand, perceive, and interact with the visual world.

Initiated in 2006, the ACM Athena Lecturer Award celebrates women researchers who have made fundamental contributions to computer science. The award includes a $25,000 honorarium provided by Two Sigma.  

Computer Vision
Computer vision has captivated the public and enables innovative technologies in many fields today, including robotics, automated vehicles, and medicine. By employing special algorithms and massive amounts of data, this technology allows computers to recognize and interpret objects in photographs, videos, and the physical environment.

For humans, understanding visual information is a simple exercise, but for computers it’s a very difficult task. Schmid made foundational contributions to this field beginning in the 1990’s. Her early work with semi-local image descriptors helped classify textures and recognize patterns. Following on these insights, she also explored how these characteristics could be combined with spatial and geometric details.

Schmid’s later innovations helped computers recognize complex objects in a scene even when clutter or other visual objects are present. In turn, these accomplishments enabled computer vision technologies to process more complex and realistic settings.

Video Analysis
Within the broader field of computer vision, the goal of video analysis is focused specifically on recognizing actions and events in real-world video footage. Schmid’s significant contributions in video analysis include designing methods and training computers to identify such actions and events. From still images to sequences, her work has played a large role in the advancements of modern image detection that technologies from digital video cameras to industrial robotics use today.

Leadership
In keeping with the Athena Lecturer Award’s goal of honoring both technical and service contributions, Schmid is recognized for building an active research community. For example, the research groups she founded lead the world, and she has contributed extensively to the field, editing its major journals and chairing its most important conferences. Schmid’s skills in mentorship and supervision are also renowned among her peers.

Biographical Background
Cordelia Schmid is a Research Director at Inria, the French National Institute for Research in Digital Science and Technology, and a Director at Google. She also serves as a Director of the ELLIS program on Machine Learning and Computer Vision and as a member of the Board of Directors for the Computer Vision Foundation.

Schmid earned a PhD in Computer Science from the Institute National Polytechnique de Grenoble (France), and an MS in Computer Science from the University of Karlsruhe (Germany). Among her many honors, Schmid is the only three-time recipient of the prestigious Longuet-Higgins Prize and a recipient of the Koenderink Prize, both awarded for fundamental contributions in computer vision. She has also received the European Inventor Award. She is a Fellow of IEEE and a Member of the German National Academy of Sciences, Leopoldina.

Schmid will formally receive the Athena Lecturer Award at ACM’s annual awards banquet on June 14, 2025 in San Francisco.

 

About the ACM Athena Lecturer Award
The ACM Athena Lecturer Award celebrates women researchers who have made fundamental contributions to computer science. It includes a $25,000 honorarium provided by Two Sigma. The Athena Lecturer is invited to present a lecture at an ACM event. Each year, the Athena Lecturer honors a preeminent woman computer scientist. Athena is the Greek goddess of wisdom; with her knowledge and sense of purpose, she epitomizes the strength, determination, and intelligence of the “Athena Lecturers.”

About ACM
ACM, the Association for Computing Machinery, is the world’s largest educational and scientific computing society, uniting computing educators, researchers, and professionals to inspire dialogue, share resources, and address the field’s challenges. ACM strengthens the computing profession’s collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.