Find Academic Supervisors

• Genomics
• Computational Biology
• Cell Biology
• +5 more

Gioele La Manno is an Assistant Professor (tenure track) at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Life Sciences (SV) and the Department of Life Sciences Engineering. He leads the Unité du Prof. La Manno (UPLAMANNO) and holds roles in teaching and doctoral education within the SSV-ENS and Programme doctoral Biologie computationnelle et quantitative . His research focuses on single-cell genomics, cellular heterogeneity, and systems biology approaches to study developmental and neural systems. La Manno’s educational background includes a strong foundation in computational and quantitative biology, reflected in his teaching of courses like Biological data science I: statistical learning and Scientific literature analysis in neuroscience . His lab explores interdisciplinary methods combining genomics, epigenomics, and machine learning to dissect cell fate decisions and tissue organization. He actively contributes to doctoral programs, supervising over a dozen PhD students and advising theses on topics ranging from nervous system development to drug sensitivity profiling. His work bridges basic research with translational applications, such as clinically compliant cell cryopreservation for regenerative medicine. La Manno collaborates across EPFL’s Life Sciences Engineering ecosystem, leveraging state-of-the-art technologies like mass spectrometry imaging and single-cell RNA velocity modeling. His lab’s recent studies address lipidome dynamics, glial diversity in the CNS, and the molecular regulation of midbrain dopaminergic neurons.

Bettina V. LotschView profile

Professor

• Nanochemistry
• Solid-State Chemistry
• Materials Science
• +4 more

Prof. Dr. Bettina V. Lotsch is Director of the Nanochemistry Department at the Max Planck Institute for Solid State Research (Stuttgart) and Honorary Professor at Ludwig-Maximilians-Universität München's Faculty for Chemistry and Pharmacy. She holds a prestigious Leibniz Prize (2025) and leads research in nanochemistry, materials science, and energy conversion technologies. Her multidisciplinary research focuses on developing multifunctional materials through solid-state and nanochemistry approaches, with emphasis on covalent organic frameworks, photonic nanostructures, and solid electrolytes for energy applications. Current projects explore solar batteries, electrocatalysis, and quantum materials. Prof. Lotsch has received numerous international honors including Baker Lectureship (Cornell), Materials Lectureship (Warwick), and EU-40 Materials Prize. She coordinates a large research team of >20 doctoral students and postdocs working on solid-state electrolytes, COF photocatalysis, and 2D material design. Education: PhD (summa cum laude) from LMU Munich, postdoctoral training at University of Toronto with G.A. Ozin, and visiting studies at University of Oxford. Research Leadership: Manages laboratories at both Max Planck Institute (Stuttgart) and LMU Munich (Chemistry Department) with specialized facilities for materials synthesis and characterization.

Jinghui LuoView profile

Research Professor

• Neurodegeneration
• Amyloid Proteins
• Nanopore Engineering
• +3 more

Jinghui Luo is a Research Professor and Principal Investigator at the Paul Scherrer Institute's Laboratory for Multiscale Bioimaging in Switzerland. Her research focuses on neurodegenerative diseases, particularly amyloid protein aggregation mechanisms. Luo's team investigates amyloid oligomers using nanopore engineering, cryo-electron microscopy, and single-molecule techniques to understand their role in Alzheimer's and Parkinson's diseases. Key research areas include α-synuclein phase separation, tau protein dynamics, and metal ion interactions with amyloid proteins. Her recent work demonstrates strong emphasis on protein oligomer characterization, liquid-liquid phase separation phenomena, and developing innovative trapping methods for single-molecule analysis. Publications consistently integrate structural biology with biophysical approaches. Luo has received prestigious awards including the NIH Director's Early Independence Award and Siebel Scholarship. She currently mentors six graduate students and postdoctoral researchers in her laboratory.

Martin Ostoja-StarzewskiView profile

Professor

• Continuum Mechanics
• Stochastic Mechanics
• Fractal Media
• +7 more

Martin Ostoja-Starzewski , Ph.D. (McGill), is a Professor of Mechanical Science & Engineering at the University of Illinois at Urbana-Champaign , with affiliate appointments at the Beckman Institute and National Center for Supercomputing Applications . His research spans continuum mechanics , stochastic wave propagation , and fractal media , focusing on scaling laws and the statistical-to-representative volume element transition. 2006–Present: Professor, UIUC 2001–2005: Canada Research Chair, McGill University 2023: Rothschild Distinguished Visiting Fellow, University of Cambridge 2022: Member, European Academy of Sciences and Arts 2024: Academia Europaea Foreign Member His work pioneered continuum mechanics with spontaneous second law violations and tensor random fields for stochastic PDEs. He authored four foundational books, including Tensor-Valued Random Fields for Continuum Physics (2019), and edited 16 special issues. Recent 2025–2023 articles explore odd elasticity , fractal thermodynamics , and stochastic wavefronts , bridging non-equilibrium thermodynamics to granular Couette systems . Scientific accolades include the Worcester Reed Warner Medal (2018) and ASME , AAM , SES fellowships. As part-time faculty at Beckman Institute (2008–Present), he integrates bioimaging with mechanics across electrosurgery and traumatic brain injury modeling.

Qian LiuView profile

Assistant Professor

• Machine Learning
• Deep Learning
• Applied Statistics
• +5 more

Dr. Qian Liu is an Assistant Professor in the Department of Applied Computer Science at the University of Winnipeg . She holds a PhD in Individual Interdisciplinary Studies, integrating Computer Science, Statistics, and Medical Genetics. Her research focuses on advanced data science techniques for healthcare and material science, including multi-modal data integration and interpretable AI. Education : 2023: Postdoc, Western University, Canada 2023: PhD, University of Manitoba, Canada 2019: MSc, University of Manitoba, Canada Research Interests : Machine learning, deep learning, bioinformatics, computational biology, medical imaging, and their applications in healthcare and material informatics. Her lab develops tools for genomic integration, radiogenomics, and AI-driven biomarker discovery. Recent Contributions : Her work spans AI in nanomaterial classification, breast cancer biomarker discovery, and emotion recognition. Articles highlight innovations in graph neural networks, diffusion models, and interpretable deep learning. Awards : 2024 University of Manitoba Distinguished Dissertation Award 2019 Best Oral Paper at IEEE Bioinformatics Conference Grants : NSERC 2024 Discovery Grant (Principal Investigator) CIHR 2023 Project Grant (Co-Applicant) Labs/Teams : Active in interdisciplinary collaborations across computer science, statistics, and biomedical domains. Lab members include postdocs, PhD/MS students, and undergraduate researchers.

Auguste GenovesioView profile

Researcher

• Computational Bioimaging
• Bioinformatics
• Machine Learning
• +7 more

Auguste Genovesio is a Research Director (DR INSERM) leading the Computational Bioimaging and Bioinformatics team at the Centre for Computational Biology within the École Normale Supérieure (ENS) in Paris. His work focuses on large-scale cellular morphology analysis, integrating machine learning, microscopy, and computational modeling to study cellular responses to perturbations. His team develops algorithms for analyzing high-dimensional biological data, with applications in drug discovery, functional genomics, and neuroscience. Education and Affiliations: Genovesio’s research is anchored at ENS and collaborates with institutions like Institut Curie, Collège de France, and ESPCI. His lab develops open-source tools such as PySpacell and ALFA , advancing spatial analysis and genomic data processing. Research Interests: His group combines deep learning, bioinformatics, and experimental biology to tackle challenges in cellular dynamics, morphological heterogeneity, and predictive modeling. Recent work includes applying diffusion models to reveal subtle phenotypes and optimizing microscopy image analysis pipelines. Key Projects: Cross-modal knowledge distillation for transcriptomics, latent diffusion models for small datasets, and super-resolution microscopy via StyleGAN regularization. Applications: Collaborations in drug screening, neurobiology (e.g., Drosophila memory studies), and cancer cell analysis. Publications: Over 50 peer-reviewed articles since 2007, including work in Nature Communications , Developmental Cell , and NeurIPS . Recent focus on generative AI for biological image analysis and self-supervised learning biases. Grants & Awards: While specific grants aren’t listed, his lab’s cutting-edge research suggests significant institutional and collaborative support. No explicit awards mentioned in texts. Labs/Teams: Director of the Computational Bioimaging group, part of the Functional Genomics section at ENS. Supervises PhD students and postdocs in AI-driven biology and computational microscopy.

Sangjin KimView profile

Assistant Professor

• Biophysics
• Microbiology
• Computational Biology
• +5 more

Sangjin Kim is an Assistant Professor in the Department of Physics at the University of Illinois, focusing on biomedical and translational sciences. After earning a B.S. in chemistry from Seoul National University and a Ph.D. from Harvard University under Sunney Xie, Kim conducted postdoctoral research in microbiology at Yale University under Christine Jacobs-Wagner. Their work combines single-molecule biophysics, microbiology, and computational modeling to study cellular complexity at the single-molecule and single-cell levels. Education: B.S., Chemistry, Seoul National University Ph.D., Harvard University (2010), thesis on single-molecule biophysics Research Interests: Kim investigates physical principles governing molecular interactions in cells, particularly how gene expression machinery operates collectively. Key areas include DNA supercoiling, mRNA degradation, transcription-translation coordination, and bacterial cellular organization. Their lab develops interdisciplinary methodologies integrating molecular biology, optics, and computational analysis. Article Trends: Kim’s publications highlight single-molecule imaging, gene regulatory mechanisms, and bacterial systems biology, with a focus on Escherichia coli. Research spans DNA mechanics, RNA dynamics, and intracellular organization, often using hybrid experimental-computational approaches. Scientific Awards: NIH Maximizing Investigators' Research Award (2021) Searle Scholar, Kinship Foundation (2020) Kavli Fellow, National Academy of Sciences (2022) University of Illinois CAS Fellow (2022-2023) Teaching: Kim has taught courses in physics, including College Physics: Mechanics & Heat (PHYS 101), University Physics: Mechanics (PHYS 211), University Physics: Electricity & Magnetism (PHYS 212), Experimental Biophysics (PHYS 407), and Special Topics in Physics (PHYS 498 EBP). Labs & Teams: The Kim Lab at UIUC focuses on solving many-body problems in biology at the single-molecule level, seeking energetic and curious graduate students and postdocs with backgrounds in physics, chemistry, or biology.

Kate WhiteView profile

Assistant Professor

• Chemical Biology
• Structural Biology
• Cellular Imaging
• +4 more

Kate White serves as an Assistant Professor in the Department of Chemistry at the University of Southern California's Dornsife College of Letters, Arts and Sciences, with cross-appointment in Quantitative and Computational Biology. Affiliated with the Bridge Institute, she pioneers experimental and computational tools to bridge structural biology and physiology through multi-scale approaches spanning atomic to cellular resolutions. Education: Ph.D. in Pharmacology, University of North Carolina – Chapel Hill (2014) Research Focus: Her laboratory investigates insulin hormone processing and maturation mechanisms in pancreatic β-cells, employing chemical biology, multi-modal imaging, biophysics, and computational modeling to study peptide hormone secretion. Defects in these processes underlie mental disorders (depression, bipolar) and metabolic diseases (diabetes). Current work defines signaling pathways for hormone maturation, examines inter-organelle communication, characterizes cellular subtypes, and develops community-based modeling tools. Publication Trends: Recent work (2022-2024) demonstrates heavy reliance on soft X-ray tomography and cryo-electron tomography for cellular mapping, combined with dielectrophoresis separation techniques and computational modeling. Key themes include insulin vesicle maturation, beta cell structural heterogeneity during pregnancy, and organelle interaction quantification. Laboratory Structure: The Kate White Lab operates through four integrated research thrusts: (1) signaling pathway characterization for peptide maturation, (2) inter-organelle communication biochemistry, (3) cellular/organelle subtype analysis in secretory cells, and (4) development of next-generation cellular modeling infrastructure for scientific communities.

Peter VerwilstView profile

Associate Professor

• Medicinal Chemistry
• Allosteric Modulation of Enzyme Targets
• Fluorescent Markers for Neurodegenerative Diseases
• +5 more

Peter Verwilst is an Associate Professor at the Medicinal Chemistry division of the Rega Institute for Medical Research , part of KU Leuven 's Department of Pharmaceutical and Pharmacological Sciences. He leads projects in allosteric modulation of enzyme targets , fluorescent markers for neurodegenerative diseases , and novel antimicrobial development , particularly focusing on Gram-negative bacteria and HIV-related therapies. His research integrates computational modeling , chemical synthesis , and fluorescent probe design . He supervises PhD students including Margaux Billen , Eline Goffin , and Radu Bulai , and collaborates with institutions like Masaryk University and the Institut Pasteur de Lille. Current projects explore CCR5 signaling modulators , PurK inhibitors , and DNA-Encoded Libraries for P. aeruginosa antibiotics. Scientific awards include supporting students like Radu Bulai in obtaining FWO PhD Fellowships . His teaching includes Organische chemie I & II and Medicinale chemie courses. The lab recently celebrated securing a C1 grant and welcomes international collaborations.

• Interface of Biology & Engineering
• Materials Science & Engineering
• Mechanical & Manufacturing Engineering
• +7 more

Paulo Jorge Da Silva Bartolo is a Professor at the School of Mechanical & Aerospace Engineering, Nanyang Technological University (NTU), and Executive Director of the Singapore Centre for 3D Printing (SC3DP). He holds the President's Chair in Additive Manufacturing and has previously served as Chair Professor of Advanced Manufacturing at the University of Manchester (2014-2021) and founded the Centre for Rapid and Sustainable Product Development at the Polytechnic Institute of Leiria (2007-2013). Current: Professor, NTU Singapore 2014-2021: Chair Professor, University of Manchester 2007-2013: Director, Centre for Rapid and Sustainable Product Development (Portugal) His research spans the interface of biology and engineering , focusing on additive manufacturing for medical applications. Key areas include 3D-printed scaffolds for bone tissue engineering , graphene composites , biomanufacturing , and functionally graded materials in construction. His work integrates materials science with mechanical engineering to advance regenerative medicine and sustainable manufacturing. Prominent trends in his recent publications include multi-material scaffolds for bone regeneration, electrospinning techniques , and smart nanogels for environmental sensing. These studies emphasize nanotechnology integration , biomimetic design , and precision manufacturing across biomedical and civil engineering domains. Fellow of CIRP (International Academy of Production Engineering) Commendation from Portuguese Government (2021) Commendation from Polytechnic Institute of Leiria (2014) Council Award Afonso Lopes Vieira for Innovation (2009) With over 600 publications, 22 edited books, and 16 patents, Bartolo's work drives cross-disciplinary innovation. He has served on evaluation panels for the European Research Council , EPSRC , BBSRC , and funding agencies across Portugal, Italy, Netherlands, Belgium, France, Canada, Switzerland, and South Africa. As Academic Lead for Industry 4.0 at the Thomas Ashton Institute and former Head of the Manufacturing Group at the University of Manchester, he bridges digital manufacturing with health and safety research. His leadership extends to the EPSRC Global Challenges Research Fund and Manufacturing Futures panels.

Emily GibsonView profile

Associate Professor

• Neurophotonics
• Biomedical Optics
• Neural Imaging
• +4 more

Dr. Emily Gibson is an Associate Professor in the Department of Bioengineering at the University of Colorado School of Medicine. She holds a PhD from the University of Colorado Boulder (2004) and a BS from the Colorado School of Mines (1997). Her multidisciplinary research focuses on developing advanced optical technologies for neuroscience applications. Her primary research interests include: Development of implantable miniature microscopes for two-photon brain imaging in freely behaving animals Superresolution STED microscopy for subcellular imaging of protein dynamics Optical interfaces for neural modulation and sensing in central and peripheral nervous systems Applications in brain mapping, neural circuit analysis, and bioelectronic medicine Dr. Gibson's recent publications demonstrate a strong focus on neurophotonic tool development, including miniature microscopes, fiber-optic imaging systems, and superresolution techniques. Her work consistently applies these technologies to study neural coding, learning mechanisms, and neurodegenerative processes. She leads the Biophotonics Lab at CU Anschutz, which actively develops open-source neurophotonic tools. Current projects include BRAIN Initiative-funded work on voltage imaging and NSF-supported research on odor navigation. Her lab maintains active collaborations with neuroscientists and clinicians to translate optical technologies into neuroscience research and clinical applications.

• Biomedical Image Analysis
• Cryogenic Electron Microscopy (Cryo-EM)
• MRI and Ultrasound Image Segmentation
• +5 more

Dr. Hemant Tagare is a Professor at Yale School of Medicine with primary appointments in the Radiology & Biomedical Imaging department and secondary appointments in Biomedical Engineering and Statistics . He is affiliated with multiple research centers, including the Bioimaging Sciences , Center for Brain & Mind Health , and Yale Biomedical Imaging Institute . Research Interests Cryogenic Electron Microscopy (Cryo-EM) for protein structure reconstruction MRI/ultrasound image segmentation using machine learning Non-rigid registration and shape theory Mathematical foundations of image analysis Articles Trends : Recent publications focus on cryo-EM particle picking consensus algorithms, T2-weighted MRI standardization, and IVIM perfusion measurement in peripheral artery disease. Earlier works emphasize segmentation techniques, non-rigid registration, and phantom validation. Scientific Awards Best Poster Award (2003) for ultrasound segmentation algorithm Francois Erbsmann Award (1993) for medical image processing National Science Talent Search Scholarship (1977) from India

• Animal Behavior
• Behavioral Neuroscience
• Big Data
• +23 more

Dan Cox serves as Dean of Natural Sciences in The College of Liberal Arts and Sciences and Professor in the School of Life Sciences at Arizona State University. He holds a B.S. in Biology from Wake Forest University and a Ph.D. in Cell Biology from Duke University, where he was an NIH pre-doctoral fellow. His postdoctoral training included a Jane Coffin Childs Fellowship and HHMI Research Associate position at UCSF. His educational trajectory includes: B.S. magna cum laude with honors in Biology, Wake Forest University (1992) Ph.D. in Cell Biology, Duke University Medical Center (1999) Postdoctoral training: Jane Coffin Childs Fellow & HHMI Research Associate, UCSF (2000-2004) Cox leads an internationally recognized neuroscience research program focused on neuronal diversity, circuit construction, and neural mechanisms of behavior—particularly pain perception and sensory neuropathies. His expertise spans neurobiology, cell biology, genetics, and computational modeling, with emphasis on multimodal sensory processing and brain plasticity. His lab has maintained continuous NIH funding for 20 years. His recent publications reveal dual research thrusts: fluid dynamics studies on drag reduction in pipe flows (examining vortex dynamics, Reynolds number effects, and wall oscillation techniques) and genetic engineering work including CRISPR-Cas9 delivery systems for immune system gene screening. This combination reflects interdisciplinary collaboration across engineering and biological domains. Key recognitions include: NIH pre-doctoral fellowship Jane Coffin Childs Fellowship for Medical Research HHMI Research Associate appointment Cox demonstrates exceptional commitment to mentoring across career stages and advancing student success through innovative pedagogies. His leadership extends to directing research centers, imaging facilities, and graduate programs—including roles as Director of the Center for Neuromics and Neuroscience Institute at Georgia State University. His NIH-funded research supports extensive interdisciplinary collaboration and training initiatives. Throughout his career, Cox has cultivated collaborative research environments through leadership in core facilities and interdisciplinary clusters, notably directing the 2CI Neurogenomics Fellowship and Brains & Behavior initiatives. His current deanship emphasizes cross-college research integration within ASU's liberal arts framework.

Anders PerssonView profile

Professor

• Medical Imaging
• Cardiovascular Imaging
• CT Technology
• +3 more

Anders Persson is Professor and Head of the Division of Diagnostics and Specialist Medicine at Linköping University, where he also serves as Director of the Center for Medical Image Science and Visualization (CMIV). His pioneering research develops advanced cardiovascular imaging techniques using photon-counting CT technology and computational fluid dynamics. Professor Persson's innovations include rapid cardiac imaging protocols capturing blood flow in a single heartbeat, AI algorithms for automated coronary calcium scoring, and patient-specific computational modeling of cardiac hemodynamics. His work with SCAPIS (Swedish CArdiopulmonary bioImage Study) examines population-level cardiopulmonary health patterns and atherosclerosis development. Recent publications focus on optimizing photon-counting CT for cardiac applications, reducing metal artifacts from implants, and developing deep learning solutions for cardiac segmentation. His research aims to enable earlier detection of cardiovascular disease through advanced imaging biomarkers. No scientific awards are documented in this profile. Professor Persson leads initiatives translating medical imaging innovations into clinical practice for improved cardiovascular diagnosis.

Christopher R. JohnsonView profile

Academic

• Scientific Computing
• Scientific Visualization
• Image Analysis
• +3 more

Christopher R. Johnson is a Distinguished Professor of Computer Science and Founding Director of the Scientific Computing and Imaging (SCI) Institute at the University of Utah. He holds additional appointments as Research Professor of Bioengineering and Adjunct Professor of Physics. His research focuses on scientific computing, visualization, and biomedical applications, with notable contributions to software tools like SCIRun, ShapeWorks, and FluoRender. He has led the SCI Institute since its founding in 1992, growing it to over 200 members. Johnson has pioneered advancements in cardiac electrophysiology modeling, medical imaging, and high-performance computing. Johnson’s academic journey includes a B.S., M.S., and Ph.D. in Computer Science, though specific institutions are not mentioned. His editorial roles include co-editing The Visualization Handbook and serving on multiple journal boards. He has advised numerous students, including Brian Zenger, Jake Bergquist, and Lindsay Rupp, who have received prestigious awards like the NSF Graduate Research Fellowship. His awards span decades and disciplines, including the NSF Presidential Faculty Fellow Award, IEEE Visualization Career Award, and Utah Cyber Pioneer Award. He is a Fellow of AIMBE, AAAS, SIAM, and IEEE. Johnson’s work emphasizes translating computational methods into clinical tools, such as deep brain stimulation for Parkinson’s and atrial fibrillation treatment. Johnson’s lab, the SCI Institute, collaborates widely with industry and academia, developing open-source software for biomedical computing. Key projects include SCIRun (a biomedical problem-solving environment) and ShapeWorks (statistical shape modeling). He has been instrumental in securing over $6 million in NIH grants for the Center for Integrative Biomedical Computing (CIBC).