Find Academic Supervisors

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +6 more

Amir Zamir is a tenure-track Assistant Professor of Computer Science at the Swiss Federal Institute of Technology Lausanne (EPFL) in the School of Computer & Communication Sciences. Previously, he worked at UC Berkeley, Stanford, and UCF with prominent researchers including Silvio Savarese, Jitendra Malik, Mubarak Shah, Rahul Sukthankar, and Leonidas Guibas. He currently leads the Visual Intelligence & Learning Lab at EPFL and serves as chief scientist of Duranta, having previously been the CVML chief scientist of Aurora Solar (a Forbes AI 50 company valued at $4B in 2022) from 2015 to 2022. Dr. Zamir's research spans computer vision, machine learning, and artificial intelligence, with a focus on developing general multi-modal/multi-task vision systems that operate as active agents in the real world. His work emphasizes slow science principles, seeking fundamental understanding over quick publications. Key research areas include embodied vision, multimodal foundation models, computational imaging, and vision-language integration. His notable projects include 4M, Taskonomy, Gibson Environment, Omnidata, and MultiMAE, which have significantly influenced the field of computer vision and embodied AI. Zamir has made substantial contributions to the computer vision community through numerous high-impact publications and leadership roles. His work demonstrates a consistent focus on creating vision systems that go beyond narrow and passive methods toward more general, active, and embodied approaches. The trajectory of his research shows increasing sophistication in handling multiple modalities and tasks within unified frameworks, culminating in recent work on multimodal foundation models that can handle diverse vision tasks. Dr. Zamir has received numerous prestigious awards including the Young Researcher Award 2022 from ECCV, the PAMI Mark Everingham Prize 2022, SIGGRAPH 2022 Best Paper Award for CLIPasso, CVPR 2018 Best Paper Award for Taskonomy, and CVPR 2016 Best Student Paper Award. He is also an ELLIS Faculty Scholar and received the NVIDIA Pioneering Research Award in 2018 for the Gibson Environment. As an advisor, Dr. Zamir has mentored numerous PhD students including Roman Bachmann, Andrei Atanov, Rishubh Singh, Jason Toskov, Kunal Pratap Singh, Zhitong Gao, Mingqiao Ye, and Muhammad Uzair Khattak. His former PhD students include Oguzhan Kar (now at Apple), Alexander Sasha Sax (co-advised with Jitendra Malik, now at Meta FAIR), and Teresa Yeo (now at MIT-Singapore Alliance). Dr. Zamir teaches several advanced courses including CS-503 Visual Intelligence, CS-500 AI Product Management, COM-304 Intelligent Systems, and ENG-615 Topics in Autonomous Robotics. Dr. Zamir leads the Visual Intelligence & Learning Lab at EPFL, which focuses on developing fundamental methods for visual intelligence that can operate effectively in real-world environments. The lab takes an interdisciplinary approach combining computer vision, machine learning, robotics, and cognitive science to create systems that can perceive, understand, and interact with the world. Current research directions include multimodal foundation models, computational imaging, embodied vision, and personalization of generative models.

David A. SmithView profile

Associate Professor

• Natural Language Processing
• Computational Linguistics
• Machine Translation
• +3 more

David A. Smith is an Associate Professor at the Khoury College of Computer Sciences, Northeastern University. His research focuses on Natural Language Processing (NLP) and computational linguistics, with applications in machine translation, information retrieval, digital humanities, and social sciences. He is a founding member of the NULab for Texts, Maps, and Networks, a research center focused on digital humanities and computational social sciences. Smith's work has been funded by grants from the Mellon Foundation, NEH, and IMLS, supporting projects such as the Viral Texts initiative analyzing 19th-century newspaper networks and the Oceanic Exchanges project tracking transnational information flows. He has contributed to advancements in OCR for historical texts, text reuse detection, and computational analysis of classical languages. He has advised numerous PhD students, including Shijia Liu, Si Wu, and Ryan Muther, and teaches courses like Natural Language Processing and Information Retrieval. His research has been featured in outlets like Wired and the Economist .

• Proteasome Research
• Structural Biology
• Enzyme Mechanisms
• +2 more

Michael Groll serves as Professor and Chair of Biochemistry at the Technical University of Munich (TUM), where he leads structural biology and enzymology research with a focus on proteasome mechanisms and inhibitor development. His laboratory, located at the Ernst-Otto-Fischer-Str. 8 campus in Garching, maintains active collaborations in drug discovery for cancer and infectious diseases. His primary research domains include proteasome inhibition, enzyme catalysis, and natural product biosynthesis, employing X-ray crystallography, biochemical assays, and bioengineering to dissect molecular mechanisms. Recent work emphasizes AI-guided enzyme optimization, bacterial stress response targeting, and structural characterization of halogenation enzymes, reflecting interdisciplinary approaches bridging chemistry and biology. Analysis of his 2023-2025 publications reveals consistent innovation in proteasome-targeted therapeutics, with 15 high-impact papers featuring structural insights into enzyme-inhibitor complexes and biosynthetic pathways. Key trends include engineering megasynthetases for immunoproteasome inhibitors, optical control of protein degradation, and elucidating metal-dependent mechanisms in antibiotic biosynthesis. No scientific awards were documented in the provided source material. While specific grant details and student mentorship records were not disclosed, his extensive publication record indicates leadership in collaborative research projects involving structural biology and chemical biology methodologies. The Chair of Biochemistry under Prof. Groll operates as a hub for structural enzymology, housing facilities for protein crystallography, enzyme kinetics, and natural product characterization. His team actively contributes to TUM's research ecosystem through partnerships with pharmaceutical groups and international structural biology consortia.

Molly CummingsView profile

Professor

• Evolution of Conspicuous Signals
• Mechanisms of Crypsis
• Neural Mechanisms of Mate Choice
• +4 more

Molly Cummings is a Professor in the Department of Integrative Biology at the University of Texas at Austin, affiliated with the College of Liberal Arts and the Center for Perceptual Systems. She holds a Ph.D. from the University of California, Santa Barbara. Her research focuses on the evolution of animal communication systems, visual ecology, and sensory-driven diversification in lower vertebrates, particularly poeciliids and poison frogs. Research interests include understanding how environmental constraints shape visual signaling, sensory biases, and mate choice mechanisms. Techniques employed involve field measurements of light environments, electrophysiological recordings, computational modeling, and neuro-ethological experiments. Current projects explore species-level divergence in visual processing and neural pathways influencing decision-making. Key themes include the interplay between natural/sexual selection and communication signal evolution, crypsis mechanisms, and the cognitive basis of sexual conflict. Recent work examines plasticity in stress responses, cognitive-behavioral profiles, and the genomic underpinnings of preference behavior in fish. Collaborative projects involve polarization vision in marine organisms and the ecological consequences of anthropogenic light pollution. Her lab advises graduate and undergraduate students in experimental design and fieldwork, with a focus on integrative approaches bridging ecology, neurobiology, and evolutionary biology. Cummings has contributed to over 100 peer-reviewed articles since 2006, emphasizing mechanistic insights into sensory ecology and organismal adaptation.

• Molluscan Evolution
• Evolutionary Biology
• Developmental Biology
• +3 more

Tim Wollesen is an Associate Professor in the Department of Evolutionary Biology at the Faculty of Life Sciences. His research focuses on molluscan evolution, neurogenesis, and developmental genetics, particularly in cephalopods, scaphopods, and chaetognaths. He has led projects funded by the Schrödinger Grant and collaborates internationally on topics like Hox gene expression and single-cell transcriptomics. Research interests include evolutionary developmental biology (evo-devo), comparative genomics, and the molecular mechanisms underlying body plan diversification. Recent studies explore the genetic basis of shell formation, nervous system evolution, and ancestral cell type conservation in spiralians. Notable contributions include analyzing developmental gene expression in squid eyes, sequencing chaetognath transcriptomes, and elucidating Hox gene roles in molluscan body plans. His work bridges molecular biology with evolutionary questions, contributing to UN Sustainable Development Goals through biodiversity research. Received Schrödinger Grant (2018) to support evolutionary research Active in international conferences, presenting on bioadhesives and molluscan cell types Lead researcher on projects like 'Elucidating molluscan evolution by single cell sequencing' (2021–ongoing) His lab focuses on integrative approaches combining genomics, microscopy, and developmental biology to decode evolutionary innovations in invertebrate lineages.

Naomi PierceView profile

Professor

• Behavioral Ecology
• Evolution
• Symbiosis
• +6 more

Naomi Pierce is the Hessel Professor of Biology in the Department of Organismic and Evolutionary Biology at Harvard University. She leads the Pierce Lab, which investigates behavioral ecology of species interactions including insect-plant associations and symbioses involving insects, microbes, and other organisms through molecular systematics, field ecology, laboratory analyses, comparative genomics, and museum surveys. Her research spans behavioral ecology, evolution, symbiosis, phylogeny, biogeography, and biodiversity with emphasis on Lepidoptera. Key projects examine ant-plant mutualisms, caterpillar-ant symbioses, pollination biology, and biodiversity patterns in the Eastern Himalaya. Her multidisciplinary approach integrates fieldwork in China and Africa with genomic and computational methods to study non-model organisms. Analysis of her 2023-2025 publications reveals dominant themes in butterfly evolution, biogeography, and climate-driven diversification. Recurring methodologies include phylogenomic reconstruction, sensory ecology analyses, and cross-continental biogeographic studies, with increasing focus on temperature effects, transoceanic dispersal, and chemical signaling mechanisms in symbiotic relationships. The Pierce Lab maintains active field programs in biodiversity hotspots including Yunnan Province and the Hengduan Mountains, collaborating with museums for specimen-based research while developing novel approaches like LiDAR vegetation phenotyping and thermal sensing in insect systems.

• Theoretical Physics
• Computational Physics
• Nanotechnology
• +6 more

Jesse Kinder serves as an Associate Professor in the Department of Natural Science at Oregon Institute of Technology. He teaches core physics courses including Classical Mechanics (PHY 221), Electricity and Magnetism (PHY 222), and Waves, Optics, and Modern Physics (PHY 223), alongside specialized offerings in Nanoscience, Radio Astronomy, and Computational Physics. His academic foundation includes a B.A. in Physics and Astronomy from DePauw University and advanced degrees from the University of Pennsylvania. His educational credentials are: B.A. in Physics and Astronomy, DePauw University M.S. in Physics and Astronomy, University of Pennsylvania Ph.D. in Physics and Astronomy, University of Pennsylvania Kinder's research spans theoretical and computational physics with evolving focus areas. Beginning with carbon nanotube modifications, his work now encompasses quantum chemistry, biological physics, epidemic modeling, radio astronomy, gravitational lensing, and quantum computing. He actively integrates research into teaching, emphasizing fundamental principles applicable from atomic to cosmic scales. Recent publications reveal a pronounced shift toward astronomical physics, particularly solar eclipse experiments and gravitational lensing studies, while maintaining computational nanotechnology threads. This diversification demonstrates strategic expansion into interdisciplinary applications including epidemic modeling and quantum computing, reflecting adaptability in addressing contemporary scientific challenges. No scientific awards were documented in the source material. Professor Kinder emphasizes student research collaboration as noted in his biography, though specific grant mechanisms remain unspecified. His portfolio spanning nanotechnology, astronomy, and computational modeling implies successful funding acquisition for diverse experimental and theoretical projects.

Rosalyn Price-WaldmanView profile

Research Fellow

• Evolutionary Biology
• Ecology
• Genetics
• +4 more

Rosalyn Price-Waldman is a Postdoctoral Research Associate at the Stoddard Lab within the Department of Ecology and Evolutionary Biology at Princeton University. Her work bridges evolutionary biology, ecology, and genetics to explore avian coloration, microbiome interactions, and macroevolutionary patterns. Research Focus : Avian coloration genetics, sensory ecology, microbiome dynamics, and phylogenomic diversification. Key Themes : Mechanisms of structural coloration in birds, evolutionary implications of plumage complexity, host-microbiome coevolution in marine species, and paleoenvironmental drivers of mass extinctions. Labs : Stoddard Lab, Princeton University. Recent work analyses genetic and microstructural pathways in avian color production (2025) and investigates the phylosymbiosis of skin microbiomes in elasmobranchs (2020). Her scholarship spans interdisciplinary subfields including evolutionary adaptation, functional morphology, and paleoenvironmental reconstruction.

Andrei AtanovView profile

Researcher

• Computer Vision
• Artificial Intelligence
• Machine Learning
• +3 more

Andrei Atanov is a Researcher at the Laboratoire d'intelligence et d'apprentissage visuels (VILAB) within the School of Computer and Communication Sciences at École Polytechnique Fédérale de Lausanne (EPFL) . His research focuses on advanced topics in artificial intelligence, computer vision, and machine learning, with particular emphasis on multimodal learning, vision-language models, and robust generalization. He is affiliated with the Department of Computer Science and contributes to projects exploring innovative solutions for vision tasks using computationally designed sensors and diffusion models. His work often bridges theoretical advancements with practical applications in robotics and generative systems. Key research areas include developing large vision-language models, optimizing vision algorithms for low-sensor environments, and enhancing model robustness through diversification strategies. His publications span topics from 3D data augmentation to uncertainty estimation in deep learning, reflecting a broad yet technically deep expertise in AI fundamentals and applications.

• Forensic Science
• Fingermark Detection
• Nanoparticles in Forensics
• +4 more

Dr. Sebastien Moret is a Senior Lecturer in Forensic Science at the University of Technology Sydney (UTS), where he has been since 2017. He serves as Course Director for the Bachelor of Forensic Science program and coordinates subjects like Forensic Imaging and Document Examination. His academic journey began at the University of Lausanne, where he earned a PhD in Forensic Science (2013) after completing undergraduate studies in the same field. PhD, Forensic Science - University of Lausanne (2008–2013) MSc, Forensic Science - University of Lausanne (2006–2008) BSc, Forensic Science - University of Lausanne (2003–2006) Dr. Moret's research focuses on advanced fingermark detection methodologies, particularly leveraging nanoparticle technology and chemical optimization. His work addresses critical challenges in forensic science including solvent alternatives (e.g., Solstice® PF replacement for HFE7100), standardization of quality assessment protocols, and environmental impacts on detection techniques through studies of biodegradable plastics. He has pioneered synthetic secretion formulations for artificial fingermark production, enabling controlled research through modified inkjet printing systems. His recent publications examine diverse forensic challenges across 15 articles including: carrier solvent performance in amino acid techniques, dark web document fraud analysis, surfactant optimization in powder suspensions, and biodegradable plastic substrate interactions. These works demonstrate his expertise in detection chemistry, forensic material science, and digital criminal marketplace analysis. Swiss National Science Foundation Postdoctoral Fellowship (2014–2015) Swiss National Science Foundation Grant (2016) US National Institute of Justice Funding (2018–2019) As a leading forensic scientist at UTS's Centre for Forensic Science, Dr. Moret bridges academic research with operational forensic practice through his method development and validation studies. His work emphasizes practical implementation challenges while maintaining rigorous scientific standards.

Hein LeertouwerView profile

Researcher

• Biophotonics
• Animal Coloration
• Structural Color
• +4 more

Hein Leertouwer serves as a Guest Researcher in the Evolutionary Biophysics group within the Faculty of Science and Engineering at the University of Groningen. His research focuses on optical signaling mechanisms in biological systems, particularly involving animal coloration and structural color phenomena. Affiliated with the Van der Kooi lab, he collaborates extensively with Prof. Doekele Stavenga and Dr. Casper van der Kooi on interdisciplinary projects bridging physics, biology, and materials science. Leertouwer's research interests center on biophotonics and animal coloration mechanisms, with specialization in structural color, pigment analysis, and optical signaling in Lepidoptera and avian species. His work examines melanin distribution, pterin-based pigmentation, feather microstructure, and wing scale optics using advanced techniques like microspectrophotometry and electron microscopy. Key themes include visual signaling evolution, thermoregulatory functions of coloration, and polarization effects in animal communication. Analysis of his 27 research outputs reveals consistent focus on optical properties of biological materials, with recent publications (2020-2023) emphasizing butterfly wing translucence, polarized iridescence in bees, and pigment polymorphism in island butterfly populations. His work demonstrates interdisciplinary integration of physics principles with biological systems, particularly in understanding how structural features generate functional optical properties. Leertouwer actively collaborates on the Scales and facets: Optical signaling and sensing in flies and butterflies project (2023-2027), investigating pollinator vision, compound eye optics, and oviposition signaling. His media coverage includes contributions to the 2025 feature In een lab vol zelfgebouwde instrumenten onderzoekt Doekele Stavenga (83) het geheim van iriserende dierenkleuren , highlighting experimental approaches using custom-built optical instruments.

• School Psychology
• Teacher Training
• Mental Health
• +5 more

Katalin Solymosi is a Lecturer at the Department of Counselling and School Psychology, Eötvös Loránd University (Faculty of Education and Psychology). She serves as a Member of the Credit Transfer Committee and coordinates accessibility as the Disability Coordinator of the faculty. Her research group focuses on school psychology and teacher training. Education : Not explicitly stated in the provided text. Her research interests span school psychology and teacher training , with a focus on mental health , inclusive education , and academic career development . While her role is in psychology, her publication history reveals expertise in plant biology, particularly stress tolerance and photosynthetic mechanisms. Trends in her research include salinity stress mitigation , plastid ultrastructure , and academic policy reform . She has contributed to studies on diversity in academia and support systems for early-career researchers . A 2022 article emphasized institutional mindset shifts for academic inclusivity, while 2023 works explored mental health monitoring during the pandemic and taxonomic discoveries in algae. Her academic service includes committee work for credit transfer systems and disability coordination, reflecting her commitment to academic accessibility and educational equity .

Robert D. ReedView profile

Professor

• Developmental plasticity
• Evolution and development
• Gene regulation
• +5 more

Robert D. Reed is a Professor of Ecology and Evolutionary Biology and Curator of Lepidoptera at Cornell University's Insect Collection. His research focuses on the developmental and evolutionary genetics of butterfly wing patterns, particularly exploring how color patterns arise and diversify under natural selection. He holds a Ph.D. from the University of Arizona (2004) and an A.B. from UC Berkeley (1997). His work integrates molecular genetics, ecology, and evolutionary biology to understand the genetic basis of adaptive traits like mimicry and seasonal plasticity. Notably, he identified key genes such as optix and WntA that regulate pattern formation. Reed's lab has produced over 50 publications, including landmark studies on cis-regulatory evolution and the genomic architecture of mimicry. He advises graduate students and postdocs, many of whom have become leading researchers in evolutionary biology. Education: Ph.D., Molecular and Cellular Biology, University of Arizona (2004) A.B., Integrative Biology, UC Berkeley (1997) Research Interests: Evolutionary genetics of butterfly wing patterns Regulatory evolution of developmental genes Seasonal plasticity and polyphenism Adaptive significance of color patterns in mimicry and camouflage Labs/Teams: Reed Lab at Cornell University Collaborations with institutions like Duke University and Penn State University

Phillip BardenView profile

Associate Professor

• Evolutionary Biology
• Ant Phylogenetics
• Amber Paleontology
• +2 more

Dr. Phillip Barden is Associate Professor and Graduate Director in Biological Sciences at NJIT. His NSF CAREER-funded research uses amber fossils and comparative genomics to study ant evolution. Awards include Royal Entomological Society Fellowship (2022) and Snodgrass Morphology Prize (2016). Research Focus: Phillip integrates paleontological data with modern genomics to investigate eusociality origins. Key themes include Cretaceous ant radiation, morphological evolution in island systems, and extinction selectivity. Lab techniques range from micro-CT scanning to mitogenome analysis. Articles Analysis: Publications demonstrate consistent focus on fossil-informed evolutionary models. Recent work emphasizes functional morphology, island biogeography, and non-destructive amber analysis. Methodological innovation includes terahertz spectroscopy for inclusion imaging.

Francois RigautView profile

Researcher

• Adaptive Optics concepts & implementation
• Adaptive Optics diversification
• Astronomical instrumentation
• +3 more

Prof Francois Rigaut is the Adaptive Optics Principal Scientist and MAVIS Principal Investigator at the Australian National University's Research School of Astronomy and Astrophysics. With a PhD from University of Paris 7 (1992) on the pioneering COME-ON Adaptive Optics (AO) system, he has led AO developments across institutions like ESO, Gemini Observatory, and CFHT. Current Affiliation: Australian National University (since 2012) Academic Rank: Researcher Research Focus: Adaptive Optics, space debris tracking, astronomical instrumentation, and wavefront sensor innovations Research Interests: His work spans AO theory (e.g., Fourier modeling, Tip-Tilt indetermination), practical implementations (GeMS, PUEO), and emerging applications in health sciences. He is advancing laser tomography AO for the Giant Magellanic Telescope and developing AO for laser beam conditioning in space debris mitigation. Recent Projects: Lead projects include MAVIS (VLT instrument), ESO GHOST Real-Time Computer , and AO systems for space debris tracking. Collaborations span institutions like Keck Observatory, ESO, and Gemini, with a focus on next-generation AO for large telescopes. Contributions: Rigaut pioneered Ground Layer AO and quantified Shack-Hartmann sensor noise. His fingerprint highlights expertise in Adaptive Optics (100%), Spectrographs (25%), and Wavefront Sensors (25%). Contact: Email francois.rigaut@anu.edu.au