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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.

Lei (Stanley) QiView profile

Associate Professor

• CRISPR technology
• Genome engineering
• Epigenetics
• +3 more

Dr. Lei (Stanley) Qi is an Associate Professor in the Department of Bioengineering at Stanford University, with affiliations as an Institute Scholar at Sarafan ChEM-H and an Investigator at the Chan Zuckerberg Biohub. His work focuses on CRISPR technologies for genome and epigenome engineering. B.S., Tsinghua University, Math and Physics (2005) M.A., University of California, Berkeley, Physics (2007) Ph.D., University of California, Berkeley/UCSF, Bioengineering (2012) Dr. Qi pioneered CRISPR interference (CRISPRi) and activation (CRISPRa) through the development of nuclease-deactivated Cas9 (dCas9) systems. His lab has advanced technologies like MEGA (multiplexed transcriptome engineering), CRISPR-GO (3D genome manipulation), and Live-FISH for real-time enhancer-promoter interaction imaging. Current research explores Therapeutic epigenome editing for immune modulation, brain disorders, and aging reversal Functional spatial transcriptomics to decode RNA organization in disease Fundamental genome biology using live-cell imaging and AI to study 3D genome regulation Recent publications highlight his group’s innovations in compact CRISPR systems (CasMINI), spatial RNA control in neurons, and therapeutic applications for neuromuscular diseases and cancer. His work bridges synthetic biology with medicine, emphasizing clinical translation and equitable biotechnology education via frugal CRISPR kits. Labs & Collaborations : The Qi Lab collaborates with UCSF, Chan Zuckerberg Biohub, and Sarafan ChEM-H to develop clinical CRISPR tools. They utilize AI and high-throughput methods to optimize gene regulation and study epigenetic principles.

Vinod MenonView profile

Professor

• Cognitive Neuroscience
• Computational Neuroscience
• Neurodevelopmental Disorders
• +3 more

Vinod Menon is the Rachel L. and Walter F. Nichols, MD, Professor of Psychiatry & Behavioral Sciences and Professor (by courtesy) of Neurology & Neurological Sciences and Education at Stanford University. As director of the Stanford Cognitive and Systems Neuroscience Laboratory, he investigates human brain function and dysfunction using advanced imaging and computational methodologies. His research spans neurodevelopmental disorders, psychiatric conditions, and large-scale brain networks. BSc (Honors) in Physics, Indian Institute of Technology (1982) PhD in Computer Science & Neuroscience, University of Texas at Austin (1990) Postdoctoral Fellowship in Neurophysiology, University of California, Berkeley (1994) Menon's research focuses on large-scale brain networks (default mode, frontoparietal, salience networks) and their role in cognitive, affective, and social function. His lab explores neurodevelopmental disorders (e.g., autism, ADHD), learning disabilities , and computational models of brain circuits. He also investigates sex differences in brain organization and causal neural mechanisms in rodent models. Recent publications highlight multimodal approaches (neuroimaging, transcriptomics, deep learning) to study mathematical ability, mind wandering, and social cognition. His work on default mode network dynamics has had a paradigm-shifting impact across neuroscience and psychiatry. ISI Highly Cited Researcher in Neuroscience (2013-2018) ISI Highly Cited Researcher with Cross-Field Impact (2019, 2020) NIH MERIT Award (2018) Young Investigator Award, NARSAD (1998) Menon mentors students and researchers from diverse disciplines and leads interdisciplinary teams at Stanford. His clinical trials examine pharmacological interventions for depression and brain training for cognitive deficits.

Lin ZhanView profile

Professor

• Healthcare for Vulnerable Populations
• Cultural Adaptation in Healthcare Measurement
• Nursing Workforce Development
• +3 more

Lin Zhan, PhD, RN, FAAN, serves as the Dean and Professor at the UCLA School of Nursing since 2021. Previously, she held deanship roles at the University of Memphis Loewenberg College of Nursing and the Massachusetts College of Pharmacy and Health Sciences. Her academic leadership spans three U.S. states and multiple campus locations. Dr. Zhan’s research focuses on improving healthcare access for vulnerable populations, developing culturally appropriate health measures, and advancing nursing workforce development. She has published over 100 articles, edited six books, and secured multi-million dollar research grants. Her scholarly contributions include roles on editorial boards for Journal of Gerontological Nursing and Journal of Aging and Geriatric Medicine , plus service on the American Academy of Nursing’s expert panels and committees. Recognized as a 2001 Fellow of the American Academy of Nursing, her accolades include the ‘Best Book of the Year’ award and leadership honors in nursing education. She has also been elected to the AACN Board of Directors and served as its Treasurer. Dr. Zhan’s work emphasizes interdisciplinary collaboration, evidenced by her cross-tissue multiomics studies on metabolic disorders and traumatic brain injury. Her recent research explores gut-brain interactions, mitochondrial dysfunction in neurodegeneration, and pharmacological strategies for renal repair. She actively mentors global women leaders in nursing and advocates for nursing education innovation through AACN policy initiatives. Her research portfolio reflects a systems biology approach, integrating single-cell analysis, spatial transcriptomics, and multi-omics methodologies to address complex health challenges. This spans from molecular mechanisms in metabolic diseases to translational strategies in neuroprotection and kidney repair.

• Genetics
• Neuroscience
• Biostatistics
• +3 more

Bernard Ng is a Researcher at the University of British Columbia’s Department of Statistics within the Faculty of Science. His work bridges advanced statistical methodologies with biomedical research, focusing on genetic and molecular mechanisms underlying neurological and immunological conditions. He is affiliated with the Centre for Molecular Medicine and Therapeutics, emphasizing translational research. Ng’s research interests span neurodegenerative diseases, particularly Alzheimer’s, leveraging spatial transcriptomics and omics integration to elucidate disease pathways. He applies machine learning to analyze immune profiles in graft-versus-host disease and develops predictive models for gene expression and clinical outcomes. His computational expertise includes network analysis, clustering algorithms, and multimodal data integration. Key contributions include identifying genetic variants linked to Alzheimer’s pathology, uncovering molecular correlates of brain connectivity, and establishing diagnostic classifiers for chronic GVHD. His work frequently involves large-scale genomic studies and interdisciplinary collaborations, integrating statistics, bioinformatics, and clinical data. Ng’s lab focuses on translational applications of statistical models in healthcare, with a particular emphasis on pediatric immunology and neurodegenerative biomarkers. His methodologies address challenges in personalized medicine, such as predicting disease trajectories and optimizing treatment strategies through data-driven approaches.