Find Academic Supervisors

• Marine Ecology
• Evolutionary Biology
• Biodiversity Conservation
• +4 more

Filip Volckaert is an Emeritus Professor with Formal Duties at the Faculty of Science, KU Leuven , specializing in Evolutionary Genomics and Molecular Ecology with a focus on fishes and their parasites in marine and freshwater environments. Education: PhD in Biological Oceanography (Dalhousie University, 1988), MSc in Biological Oceanography (Dalhousie, 1983) Academic Career: Full Professor (2010–present), Associate Professor (2000–2010), FWO-Vlaanderen Research Fellow (1993–2000) His research interests span evolutionary processes in heterogeneous environments, local adaptation mechanisms, and co-evolution between parasites and hosts. He integrates genomic tools with otolith analysis and modeling to study: Climate change impacts on polar and tropical ecosystems Conservation genetics of exploited species Seafood substitution fraud prevention Parasite-driven evolutionary dynamics Trans-Arctic connectivity patterns Publication trends highlight interdisciplinary work in genomic adaptation , DNA metabarcoding , and environmental stressors like mercury pollution and temperature shifts. His scientific leadership includes managing the Leuven One Health Institute and the Evolutionary Biology Consultancy (BioGenomics) . Current advisees work on topics ranging from Arctic fish genomics to schistosome host ecology .

Kun-Hsing YuView profile

Associate Professor

• Quantitative Pathology
• Machine Learning
• Translational Bioinformatics
• +3 more

Kun-Hsing Yu is an Associate Professor of Biomedical Informatics at Harvard Medical School, with affiliations at Brigham and Women's Hospital (Assistant Professor of Pathology) and Harvard T.H. Chan School of Public Health (Instructor in Epidemiology). His research integrates quantitative histopathology, multi-omics data, and machine learning to advance cancer diagnostics and treatment. Key interests include automated pathology image analysis, molecular mechanisms of tumor morphology, and AI-driven clinical decision-making. Education: PhD in Biomedical Informatics (Stanford University, 2016) PhD Minor in Computer Science (Stanford University, 2016) MD from National Taiwan University (2011) Research Interests: Focuses on developing AI tools for histopathology analysis, multi-omics integration, and translational bioinformatics. Recent work addresses AI bias in diagnostics, immune-related adverse events in cancer therapy, and molecular mechanisms of tumor progression. Awards: 2024 Dean’s Innovation Award 2023 Career Development Award 2021 NIH Maximizing Investigators' Research Award 2015 Howard Hughes Medical Institute Fellowship Grants & Advising: Principal Investigator for NIH grants R01HL174679 (2024–2027) and R35GM142879 (2021–2026) Advises on machine learning, pathology AI, and translational informatics Labs & Teams: Leads the Yu Lab, which develops algorithms for large-scale histopathology analysis and integrates multi-omics data to improve cancer patient outcomes.

Tatjana Sauka-SpenglerView profile

Professor

• Developmental Biology
• Genomics
• Gene Regulatory Networks
• +3 more

Professor Tatjana Sauka-Spengler is a Professor of Developmental Genomics and Gene Regulation at the University of Oxford. She holds a BA in Theoretical Physics from the University of Sarajevo, followed by graduate degrees in Solid State Physics and Interface Physics/Biology from the University of Paris. Her postdoctoral research at the California Institute of Technology (2003–2011) focused on Developmental Genetics and Bioengineering. She was awarded a WIMM Senior Research Fellowship in 2011, became an Associate Professor at Oxford in 2014, and was promoted to full Professor in 2019. Her research integrates experimental and computational approaches to dissect gene regulatory networks in developmental processes, particularly in vertebrate models like zebrafish, chick, and lamprey. Key areas include neural crest cell specification, stem cell therapies, and the application of CRISPR/dCas9 technologies for epigenetic modulation. She employs single-cell multi-omics, spatial transcriptomics, and systems biology to study developmental pathways and their dysregulation in diseases such as cancer and myotonic dystrophy. Her work bridges developmental biology, genomics, and regenerative medicine, with contributions to understanding tissue regeneration, oncogene-driven cell plasticity, and evolutionary conserved regulatory mechanisms. Recent studies highlight her focus on CRISPR-based tools for therapeutic applications and the molecular basis of neural crest-related disorders. Notable techniques pioneered by her group include in vivo biotagging for cell-type-specific profiling and the use of Ac/Ds transposition systems for epigenome editing. Her research also extends to clinical applications, such as biomarker discovery for lung cancer immunotherapy and radiotranscriptomic analysis of vascular inflammation in COVID-19.

Karna GowdaView profile

Assistant Professor

• Microbial Ecology & Evolution
• Quantitative Biology
• Applied Mathematics
• +3 more

Karna Gowda is an Assistant Professor in the Department of Microbiology at The Ohio State University, affiliated with the Interdisciplinary Biophysics Graduate Program and the Center of Microbiome Science. He earned a B.S. from the University of Illinois Urbana-Champaign, a Ph.D. from Northwestern University, and conducted postdoctoral research at the University of Chicago. His research focuses on understanding natural design principles underlying microbial community functions, integrating experiments with dynamical systems modeling and statistical learning. Key areas include microbial ecology/evolution, quantitative biology, and applied mathematics. The Gowda Lab explores topics like denitrification physiology, nutrient limitation effects, and single-cell 'omics approaches in microbial communities. Recent work highlights include studies on environmentally-dependent microbial interactions and functional landscape analysis. The lab has advised students such as Dominic Cipiti (PhD candidate) and Aouss Azzouz (alumni), with collaborations extending to field scientists and environmental 'omics datasets. Lab activities include managing teams like Anja Steinert (Lab Manager) and hosting visiting researchers. Ongoing projects aim to refine computational methods for single-cell genomics and transcriptomics in community contexts, alongside investigating the physiological costs of metabolic functions in denitrifying communities.

Ken ChenView profile

Associate Professor

• Bioinformatics
• Cancer Genomics
• Computational Biology
• +6 more

Dr. Ken Chen is an Associate Professor in the Department of Bioinformatics and Computational Biology at the University of Texas MD Anderson Cancer Center, with an adjunct role at Rice University. His research focuses on developing computational tools for cancer genomics, single-cell analysis, and AI-driven precision medicine. He holds leadership roles, including Director of Bioinformatics at the Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy. Education: B.E. from Tsinghua University (1996), Ph.D. in Electrical and Computer Engineering from the University of Illinois Urbana-Champaign (2004), and postdoctoral training at UC San Diego. Prior experience includes roles at Washington University School of Medicine and Microsoft Research. Research Interests: Cancer genomics, single-cell/spatial transcriptomics, tumor heterogeneity, AI applications in oncology, and bioinformatics tool development (e.g., BreakDancer, Monopogen, METAFlux). His lab collaborates widely, with grants from NIH, CPRIT, and the Chan Zuckerberg Initiative. Notable Achievements: Developed widely used computational tools for structural variant detection and tumor phylogeny analysis. Awards include the Andrew Sabin Family Fellow (2016) and recognition in the ICGC-TCGA DREAM Challenge (2014). Lab Activities: The Chen Lab trains postdocs, PhD students, and undergraduates in computational biology and translational research. Current projects include CAR-NK cell therapy optimization and spatial omics analysis.

Joshua WeinsteinView profile

Assistant Professor

• Biophysics
• Molecular Biology
• Numerical Analysis
• +3 more

Joshua Weinstein is an Assistant Professor at the University of Chicago, holding dual appointments in the Pritzker School of Molecular Engineering and the Department of Medicine's Section of Genetic Medicine. His research focuses on developing DNA-based technologies for precision biology, including DNA microscopy and immune receptor sequencing. Education: Bachelor's in Physics and Biophysics, University of Pennsylvania PhD in Biophysics, Stanford University (2012) Postdoctoral work at Broad Institute/MIT with Feng Zhang and Aviv Regev Research Interests: Biophysics, Numerical Analysis, Molecular Biology. His lab pioneers DNA microscopy—using DNA as an imaging medium to map genetic diversity spatially. This technique bypasses traditional optics, enabling self-imaging of biological specimens. He also studies immune diversity via high-throughput sequencing, with applications in vaccine response analysis and genetic cartography. Publications Trends: Recent work emphasizes volumetric DNA microscopy for 3D organism imaging, CRISPR-Cas targeting methods, and immune repertoire analysis. Key innovations include distributed molecular networks for spatial data encoding and optics-free imaging modalities. Awards: 2021 Damon Runyon Innovation Award 2020 Moore Inventor Fellow Simons Fellowship from the Life Sciences Research Foundation Advising & Labs: Leads the Weinstein Lab, which develops next-generation DNA technologies. Current projects include spatial transcriptomics and CRISPR-based tools. Open positions available for researchers interested in precision biology. Labs/Teams: Collaborates across molecular engineering and medicine, leveraging interdisciplinary approaches to advance imaging and sequencing techniques.

Brandi Bourg KarischView profile

Associate Professor

• Animal Science
• Veterinary Science
• Beef Cattle Management
• +5 more

Dr. Brandi Bourg Karisch is an Associate Professor in the Department of Animal and Dairy Sciences at Mississippi State University , where she conducts both extension and research focused on beef cattle health , immunology , and genomics . Her work bridges practical agricultural applications with advanced scientific inquiry, particularly in bovine respiratory disease prevention and trace mineral nutrition . PhD in Animal Science from Texas A&M University Master of Science in Animal Science from Texas A&M University Bachelor of Science in Animal/Dairy-Poultry Science from Louisiana State University Dr. Karisch’s research explores host-pathogen interactions , immune response mechanisms , and precision agriculture technologies for cattle management. She investigates how trace mineral supplementation , vaccination strategies , and gene expression profiles influence disease resistance and growth performance in high-risk beef cattle. Her recent publications highlight trends in bovine immunology , including transcriptomic analysis of respiratory disease biomarkers , and application of machine learning to behavioral monitoring via accelerometers. Many studies utilize multi-omics approaches and epidemiological modeling to address health and production challenges in stocker cattle systems. Dr. Karisch mentors graduate students such as Jamie Rooney , Mabrey Briscoe , and Sarah Montgomery , while contributing to MSU Extension Service programs. Her collaborative work spans animal nutrition , antimicrobial resistance surveillance, and economic analysis of cattle management practices.

Tongzhe LiView profile

Professor

• Behavioral Economics
• Experimental Economics
• Agricultural Economics
• +7 more

Prof. Tongzhe Li is a Professor and Arrell Family Chair in Behavioural and Experimental Economics at the University of Guelph's Department of Food Agricultural and Resource Economics, leading the FARE Laboratory. She holds a Ph.D. from Washington State University and prior roles include Assistant Professor at University of Windsor and Associate Professor at University of Guelph. Her research integrates economic theory with behavioral experiments to address agri-food-environment challenges, focusing on innovation adoption, consumer behavior, social comparison, and discrimination. Key contributions include studies on recycled water products, public goods provision, and environmental policy design. Current projects explore green ammonia adoption and the impact of framing in economic decisions. Her work has been published in journals like Economic Inquiry , Nature Reviews Clean Technology , and Environmental and Resource Economics . Education: Ph.D. Economics (Washington State University, 2011–2015); M.Sc. Agricultural Economics (A.E. Electrical Engineering). Previous positions include postdoctoral research at the University of Delaware and assistant professorships at the University of Windsor and University of Guelph. Research Interests: Behavioral economics, experimental methods applied to agricultural and environmental policy, consumer behavior in agri-food systems, public goods provision mechanisms, and the role of social comparisons in decision-making. Her lab, FARE, specializes in field and laboratory experiments to inform policy and practice. Labs/Initiatives: Founding Director of the FARE Laboratory for Experimental and Applied Economics. Active in collaborative projects on sustainable agriculture, water resource management, and climate-smart technologies.

Tin NguyenView profile

Associate Professor

• Data Science
• Machine Learning
• Disease Subtyping
• +3 more

Tin Nguyen is an Associate Professor in the Department of Computer Science and Software Engineering at Auburn University, and holds the Ginn Faculty Achievement Fellowship. He specializes in data science and machine learning applied to biomedical challenges, particularly in disease subtyping, pathway analysis, and single-cell genomics. His research integrates multi-omics data to improve cancer diagnosis and treatment strategies. Dr. Nguyen earned his Ph.D. in Computer Science from Wayne State University, followed by M.S. and B.S. degrees in Computer Science from Eötvös Loránd University. His work has led to tools like CPA (Consensus Pathway Analysis) and CytoAnalyst, web-based platforms for genomic and single-cell data analysis. His scientific contributions include $1.8M NIH funding for developing single-cell analysis platforms and a $1.2M NIH grant for cancer subtype identification. He has published extensively on topics like single-cell trajectory inference, data imputation, and computational methods for biomarker discovery. Awardees of the NSF CAREER grant and Ginn Fellowship, Dr. Nguyen’s research bridges computational methods with clinical applications, addressing challenges in precision medicine and systems biology.

• Stem Cell Differentiation
• Regenerative Medicine
• Intervertebral Disc Biology
• +2 more

Petra Kraus is an Assistant Professor of Biology at Clarkson University focusing on stem cell-based regenerative medicine for intervertebral disc degeneration. Her research deciphers communication between stem cells and their microenvironment during differentiation. Education Background: Ph.D. Molecular Genetics & Human Biology, University of Ulm, Germany She applies genomic technologies to map gene regulatory networks governing axial skeleton and intervertebral disc development. This work informs stem cell differentiation protocols for tissue engineering solutions to disc degeneration—a leading cause of chronic pain. The lab utilizes patient-derived induced pluripotent cells to develop safe regenerative therapies. Recent publications demonstrate advances in extracellular vesicle signaling, single-cell phenotyping of disc tissues, and metabolic regulation of stem cells. Her work has identified key transcription factors (Pax1/Pax9) and antisense RNAs regulating disc development. Patents: Method Of Effecting De-Differentiation Of A Cell (US20110165570A1) Research collaborations focus on harmonizing disc cell isolation protocols and developing peptide-based biomaterials for disc repair.

Aritra HalderView profile

Assistant Professor

• Bayesian Modeling
• Spatial and Spatiotemporal Analysis
• Optimization
• +5 more

Aritra Halder is an Assistant Professor of Biostatistics in the Department of Epidemiology and Biostatistics at Drexel University's Dornsife School of Public Health. He holds a PhD and MS in Statistics from the University of Connecticut, and an MS in Applied Mathematics from the Chennai Mathematical Institute, alongside a BS in Statistics from Presidency College. His research focuses on Bayesian modeling, spatial and spatiotemporal statistical methods, and optimization techniques applied to public health policy, environmental science, and biomedical domains. Recent work includes developing R packages for Bayesian wombling (boundary detection), analyzing spatial heterogeneity in air pollution effects on pediatric health, and modeling pandemic dynamics during India's 2020 lockdown. Education: PhD, Statistics, University of Connecticut (2020) MS, Statistics, University of Connecticut MS, Applied Mathematics, Chennai Mathematical Institute BS, Statistics, Presidency College Dr. Halder's applied research spans epidemiological modeling, spatial omics analysis, and infrastructure policy evaluation. His 2023 work on rural broadband efficacy and 2021 pandemic modeling contributions highlight his interdisciplinary approach to solving complex societal challenges through statistical innovation. His academic contributions include over 15 peer-reviewed articles in journals like Scandinavian Actuarial Journal and Methodology and Computing in Applied Probability , alongside conference proceedings on linguistic perception and pharmaceutical engineering.

Pallavi SinghView profile

Lecturer

• Plant Biology
• Photosynthesis
• Water Use Efficiency
• +5 more

Dr Pallavi Singh is a Lecturer (Assistant Professor) at the School of Life Sciences, University of Essex . She leads the Plant Molecular Physiology and Functional Genomics research group and serves as a Gatsby Mentor in the UK Gatsby Plant Science Network. PhD in Plant Genome Research (2016), National Institute of Plant Genome Research MSc in Biochemistry (2010), University of Lucknow BSc (2008), University of Lucknow Her research focuses on understanding and enhancing water use efficiency (WUE) in C4 plants through: Natural variation analysis in Gynandropsis gynandra and Amaranthus Single-cell sequencing and epidermal cell enrichment Genome editing for guard cell-specific manipulation Cereal grafting to dissect interspecific water use strategies Investigating evolutionary innovations in grass species Her 2023–2025 publications reveal expertise in C4 photosynthesis evolution , leaf venation/nutrition , monocot grafting , and transcriptional regulation . Key funders include BBSRC , Gatsby Charitable Foundation , and Medical Research Council . Scientific Awards : UKRI-Future Leaders Fellow John Henry Coates Fellow, Emmanuel College Gatsby Mentor She supervises PhD students Piotr Jerzy Kasznicki and Shashi Kant Jha , and her lab ( The Pallavi Singh Lab ) develops climate-resilient crops through interdisciplinary approaches.

• Molecular Plant-Microbe Interactions
• Fungal Pathogen Virulence
• Plant Disease Resistance
• +3 more

Mitch Elmore is a USDA-ARS Research Molecular Geneticist and Adjunct Assistant Professor affiliated with the USDA-ARS Cereal Disease Lab in St. Paul, MN. His research focuses on understanding molecular plant-microbe interactions, particularly Fusarium Head Blight in cereal crops and the mechanisms governing fungal pathogen virulence and host resistance in barley. His work integrates molecular profiling, functional genomics, and network biology approaches to combat agricultural losses from pathogens. Education: PhD in Plant Biology with a Biotechnology emphasis from University of California-Davis (2014); BS in Biology from St. Louis University (2005). Research emphasizes Fusarium graminearum-host interactions, including effector protein targets and signaling networks. Methodologies include yeast two-hybrid screening, super-resolution ribosome profiling, and multi-omics integration. Recent work explores ABC transporter roles in fungal virulence and trichothecene production. His articles highlight advancements in pathogen diagnostics (e.g., HRM assays for chemotype differentiation), protein interaction networks, and plant immune signaling mechanisms. Current efforts aim to develop novel strategies for crop disease management through molecular and systems biology approaches.

Argyris PapantonisView profile

Professor

• Epigenetics
• Genome Architecture
• Chromatin Folding
• +2 more

Argyris Papantonis is Professor of Translational Epigenetics at the University Medical Center Göttingen, Germany, leading a research group at the Institute of Pathology. His work focuses on understanding how genome architecture in 3D nuclear space regulates gene expression during cellular responses to developmental cues, disease states, and aging processes. The laboratory investigates chromatin folding dynamics using advanced genomic and imaging approaches. Research interests include epigenetic regulation of gene expression, chromatin topology dynamics during cellular differentiation, nuclear organization principles, and mechanisms of cellular senescence. The group develops methods to study spatial genome organization and its functional consequences. Recent publications reveal fundamental insights into CTCF/cohesin-mediated chromatin looping, enhancer-mediated gene activation mechanisms, epigenetic drivers of cellular aging, and the role of genome architecture in cancer biology. This work combines computational genomics with experimental approaches to develop predictive models of cellular behavior. Dr. Papantonis maintains collaborations across computational, molecular, and clinical disciplines and has developed specialized techniques for studying active transcription sites and chromatin interactions in mammalian cells.

Colleen BoveView profile

Assistant Professor

• Marine Ecology
• Climate Change Impacts
• Coral Reef Ecology
• +3 more

Dr. Colleen Bove is an Assistant Professor in the Department of Biology at Ursinus College. She earned her B.S. in Marine Biology from the University of North Carolina at Wilmington and her Ph.D. in Ecology from the University of North Carolina at Chapel Hill. After completing postdoctoral research at Boston University, she joined Ursinus in 2023. Her research explores environmental stress impacts in aquatic ecosystems through multidisciplinary approaches including molecular analyses, aquarium experiments, field expeditions, and geospatial techniques. Current projects investigate coral microbiomes in the Caribbean, climate change effects on marine invertebrates, and microplastic pollution in Pennsylvania's Schuylkill River. Dr. Bove teaches courses including Ecology and Evolution, Global Change Ecology, Marine Biology, and Marine Invertebrate Zoology. She advocates for open science practices through public sharing of data, code, and protocols via GitHub and Zenodo.