Ying Ge is a Professor at the University of Wisconsin–Madison, jointly appointed in the Department of Cell and Regenerative Biology and the Department of Chemistry. Her research integrates chemistry, biology, and medicine, focusing on advanced mass spectrometry-based proteomic and metabolomic technologies to address cardiovascular diseases. Education: B.S., Peking University (1997) Ph.D., Cornell University (2002) Ying Ge's work centers on developing ultra high-resolution mass spectrometry platforms for top-down proteomics and metabolomics, applied to systems biology studies of heart failure and regenerative medicine. Key projects include myofilament protein modification mapping, stem cell therapy evaluation, and biomarker discovery for cardiac conditions. The 15 most recent articles highlight her lab's methodological innovations (e.g., photocleavable surfactants, native mass spectrometry) and biological discoveries in AMPK structural heterogeneity, RBM20-mediated cardiotoxicity, and sarcomere-metabolism cross-talk during regeneration. These publications span proteomics, metabolomics, structural biology, and clinical applications.
Ramesh Shanmughom Pillai is a Full Professor at the Department of Molecular Biology, University of Geneva, Switzerland. He holds additional roles as a Visiting Professor at the University of Kumamoto, Japan, and has been a Group Leader at EMBL Grenoble and a postdoctoral fellow at the Friedrich Miescher Institute. His research focuses on RNA modifications, epigenetics, and piRNA pathways in germline biology. Pillai has received prestigious awards including the ERC Consolidator Grant and The RNA Society Scaringe Award. Education: BSc Botany (University of Kerala, India) MSc Biotechnology (IIT Roorkee, India) PhD in Cell Biology (University of Bern, Switzerland) Research Interests: Pillai’s work centers on RNA biology, particularly the role of RNA modifications (e.g., m6A, m6Am) in development and fertility. He investigates piRNA biogenesis, transposon silencing, and the molecular mechanisms of RNA-protein interactions. His studies bridge biochemistry, genetics, and structural biology to elucidate how RNA molecules regulate critical biological processes. Teaching & Service: At the University of Geneva, he teaches Molecular Biology courses (BSc/MSc levels) and advises 5 PhD students and 4 postdocs. He chairs the ERC Consolidator Grant Review Panel and organizes major conferences like the PIWI/piRNAs Meeting and Swiss RNA Workshop. Pillai also serves on editorial boards for Nucleic Acids Research and RNA . Awards: ERC Consolidator Grant (2015) Best PhD Thesis Award (2003) RNA Society Scaringe Award (2005) Grants & Labs: Funded by ERC Starting and Consolidator Grants, his lab explores RNA modification networks in germ cells. Former trainees include Professors Simon Conn (Flinders University) and Hao Wu (CAS, China).
Jeremy Wang, PhD is an Assistant Professor in the Department of Genetics at the UNC School of Medicine . His research focuses on applying high-performance computational methods and machine learning to analyze high-throughput sequence data using long-read technologies (e.g., Oxford Nanopore) to advance precision personalized medicine . Key disease areas include Inflammatory Bowel Diseases (IBD) Respiratory Infectious Diseases His lab specializes in microbiome analysis , host-pathogen interactions , and computational genomics , working with collaborators in clinical, translational, and computational domains. His publications demonstrate expertise in long-read sequencing applications for Pediatric cancer classification SARS-CoV-2 genomic epidemiology Microbiome spatiotemporal dynamics Murine disease models Drosophilid genome assemblies Metagenomic bias analysis Collaborations span UNC and global institutions, with current work extending to clinical laboratory partnerships for pathogen sequencing and oral microbiome sampling methodology.
Dr. Andre Kahles is a Lecturer in the Department of Computer Science at ETH Zürich, specializing in biomedical informatics. His research focuses on computational methods for analyzing large-scale genomic and transcriptomic data, with applications in cancer genomics, metagenomics, and precision medicine. He has contributed to the development of tools such as SplAdder for alternative splicing analysis, MetaGraph for petascale genomic data exploration, and SECEDO for subclone detection in cancer genomes. His work bridges algorithmic innovation with biological insights, addressing challenges in single-cell analysis, genome graph alignment, and multi-omics integration. Key research themes include: Developing scalable algorithms for processing nanopore sequencing and metagenomic data Characterizing somatic mutations and non-coding drivers in cancer genomes Advancing genome graph-based alignment and annotation methods Integrating multi-omics data for clinical decision-making and tumor profiling His publications span topics like RNA-seq analysis, chromothripsis in cancers, and global urban microbiome tracking through the MetaSUB consortium. Kahles has collaborated on landmark projects including the Pan-Cancer Analysis of Whole Genomes (PCAWG) and the Tumor Profiler Study.
Igor Jurisica is a Professor at the University of Toronto and a Senior Scientist at the Krembil Research Institute’s Data Science Discovery Centre for Chronic Diseases. He also serves as Visiting Scientist at IBM CAS, Scientific Director of the World Community Grid, and Chief Scientist at the Creative Destruction Lab (Rotman School of Management). His research focuses on integrative computational biology, data mining, and AI-driven models for cancer mechanisms, drug discovery, and chronic disease management. Key affiliations include the Osteoarthritis Research Program, Schroeder Arthritis Institute, and leadership roles in open science initiatives like the World Community Grid, a global distributed computing platform with 810,000+ volunteers. Jurisica’s work bridges computational tools (e.g., NAViGaTOR visualization platform, MirDIP databases) and clinical applications, emphasizing explainable AI in healthcare. Research interests span proteomics, microRNA regulation, systems vaccinology, and multi-omics integration for disease stratification. Notable contributions include identifying prognostic signatures in cancer and osteoarthritis, machine learning models for drug repurposing, and sportomics analyses of athletic biomarkers. He has been recognized as a Thomson Reuters Highly Cited Researcher (2014-2016) and ranked among the Top 100 AI Leaders in Oncology (2023). His labs develop open-access tools like PathDIP, OsteoDIP, and miRAnno to advance translational research.
Istvan Albert is a Research Professor of Bioinformatics at Pennsylvania State University , affiliated with the Department of Biochemistry and Molecular Biology . He leads the Bioinformatics Consulting Center and teaches BMMB 852: Applied Bioinformatics . Research Interests: Specializing in bioinformatics, large-scale biological data analysis, microarray and sequence analysis, scientific programming, algorithm development, and database-driven web development. His work spans gene ontology visualization , RNA-Seq analysis , and coronavirus research . Software Development: Created GeneScape for gene function visualization and bio for bioinformatics workflows. Maintains the Biostar Handbook series and the Biostars Q&A Forum , a leading bioinformatics resource.
Professor Alexander J. Hartemink holds dual appointments in the Department of Computer Science and Department of Biology at Duke University, Trinity College of Arts & Sciences. He is also a Bass Fellow in Computer Science. His research focuses on computational biology, machine learning, and systems biology, with applications to genomics, epigenomics, and transcriptional regulation. Hartemink leads the Duke Office of University Scholars and Fellows and has directed the Computational Biology and Bioinformatics graduate program. He earned a PhD from MIT (2001), MPhil from the University of Oxford (1996), and BS from Duke (1994). Research Interests His work integrates computational methods to study chromatin dynamics, transcriptional networks, and epigenetic mechanisms. Key areas include modeling chromatin accessibility, predicting transcription factor binding, and understanding cell-cycle regulation. Techniques employed include Bayesian networks, dynamic systems modeling, and machine learning algorithms. Publications & Trends Recent work emphasizes single-cell multi-omics integration, chromatin occupancy modeling (RoboCOP framework), and transcriptional regulation in response to genetic perturbations. Themes include epigenetic plasticity, disease-associated enhancers, and systems-level analysis of gene expression. Awards & Grants Hartemink has received the Sloan Research Fellowship (2005) and NSF CAREER Award (2004). Active grants include NIH funding for chromatin-transcription interplay studies and NSF support for regulatory genome research. He collaborates on projects like the Data+ initiative, promoting interdisciplinary data science. Affiliations & Labs Associated with Duke’s Center for Genomic and Computational Biology and Center for Advanced Genomic Technologies. His lab develops computational tools for genomic analysis, including software for chromatin modeling and epigenetic data integration.
Prof. Dr. Susanne Foitzik is a Professor of Evolutionary Biology at Johannes Gutenberg University Mainz since 2010, where she leads the Evolution & Behavioral Ecology of Ants research group at the Institute of Organismic and Molecular Evolution (IOME). Previously, she was Professor in Behavioral Ecology at LMU Munich (2004-2010) and Assistant Professor in Zoology at the University of Regensburg (2000-2004). She earned her PhD in Biology from Julius Maximilian University, Würzburg in 1998. Her research integrates approaches from behavioral ecology through genomics to epigenetics, focusing on ants as model organisms to study complex social behaviors. Host-parasite coevolution and social parasitism in ants Molecular mechanisms underlying division of labor Reversal of the fecundity-longevity trade-off in social insects Gene regulation in phenotypic plasticity Evolution of chemical communication systems Analysis of her recent publications (2022-2025) reveals a strong focus on molecular mechanisms of social behavior, with particular emphasis on host-parasite interactions, epigenetic regulation of behavior, and genomic adaptations in social insects. Her work increasingly combines transcriptomic, proteomic, and functional genomic approaches to understand the molecular basis of social evolution. Among her notable scientific achievements: Speaker of Research Training Group 2626 GenEvo: Gene Regulation in Evolution (2019-present) Speaker of EES Master Program funded by VW foundation (2007-2010) DAAD Fellow at State University of New York (1992-93) Prof. Foitzik has supervised numerous PhD students and postdocs, including Maide Macit, Tom Sistermans, and Marcel Caminer. Her research is supported by multiple DFG-funded projects investigating host-parasite coevolution, the role of gene regulation in division of labor, and parasite interference in host gene expression. She serves as Handling Editor for Biology Letters and previously served on the editorial board of Insectes Sociaux. Her research group operates within the Institute of Organismic and Molecular Evolution (IOME) at Mainz, with laboratory facilities at the Biozentrum I. The group collaborates extensively with researchers across Germany and internationally, including partnerships with institutions in Frankfurt, Freiburg, Bristol, and Tel Aviv.
Professor Richard Wade-Martins is a leading academic in University of Oxford 's Department of Physiology, Anatomy and Genetics . He directs the Molecular Neurodegeneration Research Laboratory and the Oxford Parkinson’s Disease Centre (OPDC). With degrees from Cambridge (MA) and Oxford (DPhil), he has held prestigious fellowships including Wellcome Trust Research Career Development Fellowship and NIH reviewer roles. His research targets molecular mechanisms in Parkinson’s and Alzheimer’s diseases through iPSC models , transgenic mice , and lysosomal function studies . He pioneered work on SNCA , MAPT , and LRRK2 gene pathways. Current projects focus on gene therapy and mitochondrial dysfunction in neurodegeneration. Key publications (2019–2025) reveal trends in single-cell transcriptomics , calcium channel inhibition , and TFEB/TFE3 lysosome modulation . His awards include Wellcome Trust Fellowships and advisory roles for Parkinson's UK , Alzheimer's Research UK , and EU consortia like StemBANCC and EFACTS . He leads the UK Dementia Platform iPSC Initiative and serves on international boards in Luxembourg and Canada.
Ana Maria Velez is an Associate Professor at the Department of Entomology, University of Nebraska-Lincoln. Her research focuses on insect responses to chemical stressors, particularly RNA interference (RNAi) and Bt toxins for pest management. With a 80% research and 20% teaching appointment, she leads the Insect Toxicology Lab and teaches courses like 'Toxins in the Environment' and 'Insecticide Toxicology.' Education: Ph.D. in Entomology, University of Nebraska-Lincoln, 2013 M.S. in Entomology, Universidad Nacional de Colombia, 2009 B.S. in Biology, Pontificia Universidad Javeriana, Colombia, 2006 Her research spans molecular, organismal, and population levels to evaluate transgenic crops and RNAi technologies. Key areas include resistance mechanisms, non-target effects, and risk assessment frameworks. She has extensive publications on western corn rootworm and fall armyworm, emphasizing sustainable pest control. Her work also addresses sublethal impacts on non-target species like monarch butterflies and honeybees. Recent articles highlight RNAi delivery optimization, Bt resistance dynamics, and ecological impacts of insecticides. Her lab collaborates on patents for RNAi-based pest suppression methods targeting chromatin remodeling and developmental genes. Scientific Awards Distinguished Multicultural Alumni (2019) DuPont Young Professor Award (2016) International Congress of Entomology Travel Awards (2016) Widaman Trust Distinguished Graduate Assistant (2011) Milton E. Mohr Teaching Fellowship (2012) The Vélez Arango Lab investigates durability and safety of insect control technologies, with emphasis on RNAi and Bt crops. Their work informs integrated pest management (IPM) systems and regulatory frameworks.
Maria Chikina is an Assistant Professor at the University of Pittsburgh School of Medicine's Department of Computational and Systems Biology. She holds a PhD in Molecular Biology from Princeton University. Her research focuses on developing computational methods to analyze large-scale genomic datasets, bridging statistical rigor with biological insights to overcome experimental biases. Key research areas include latent variable modeling (e.g., PLIER, CellCODE), interpretable neural networks for sequence-to-function modeling, evolutionary rate analysis (RERconverge), and applications in tumor immunology, exercise genomics, and infectious disease (e.g., SARS-CoV-2). Her lab has developed tools like InstaPrism, NIFA, and L0 segmentation for data-driven biological discovery. Her work spans collaborations with institutions like UPMC (on tumor microenvironment) and the Molecular Transducers of Physical Activity Consortium (MoTraPAC). Notable projects include analyzing convergent evolution in marine mammals and subterranean species, and developing epigenetic biomarkers for disease states through the ECHO program. Lab members include PhD students (Rezwan Hosseini, Tugrul Balci) and postdocs (Tina Subic, Anish Sevekari). Past students Wynn Meyer now leads a group at Lehigh University. Her group emphasizes open-source tools (GitHub repository ChikinaLab) and interdisciplinary approaches to systems biology challenges.
Curtis Suttle is a Professor in the Department of Botany at the University of British Columbia's Faculty of Science. He also holds affiliations with Earth and Ocean Sciences, Microbiology and Immunology, and the Institute for Oceans and Fisheries. His research focuses on marine virology and the ecological roles of viruses in aquatic ecosystems, particularly their impact on phytoplankton and microbial communities. Dr. Suttle received his B.Sc. and Ph.D. from UBC, was a Coastal Marine Scholar at SUNY StonyBrook (1987-88), and served as Assistant/Associate Professor at the University of Texas at Austin (1988-96) before returning to UBC. His research program investigates the biology and ecology of viruses that infect microalgae and cyanobacteria. Key areas include discerning viral effects on primary productivity, isolating novel marine viruses, developing molecular identification methods, and studying viral distribution patterns. His work has revealed that viruses can occur in seawater at concentrations exceeding 10 5 ml -1 , with cyanophage concentrations reaching 10 6 infectious units ml -1 in coastal waters. Dr. Suttle's team has developed PCR primers specific for viral DNA polymerase genes, showing these viruses belong to a single family related to herpes viruses. Recent publications show a strong focus on marine viral ecology, with particular attention to oyster microbiomes, viral taxonomy, and the role of viruses in marine ecosystems. His research spans from coastal environments to the deepest ocean trenches, examining viral diversity across environmental gradients and investigating viral impacts on carbon cycling and marine food webs. Dr. Suttle leads an active research group with several post-doctoral associates, research scientists, and graduate students. His team conducts field work at multiple locations including the Naica Mine in Mexico, Pavilion Lake in British Columbia, Saanich Inlet, and the Strait of Georgia. Current projects include collaborations with the Hakai Institute, Line P Research Cruise, and CASES (Canadian Arctic Shelf Exchange Study). His laboratory has made significant contributions to understanding viral roles in marine ecosystems, particularly through expeditions to extreme environments like the Naica crystal caves and deep ocean trenches. Ongoing research explores viral impacts on microbial community structure, carbon cycling, and ecosystem function across diverse marine habitats.
Caryl E. Sortwell is a Professor of Translational Neuroscience and Edwin A. Brophy Endowed Chair in Central Nervous System Disorders at Michigan State University's College of Human Medicine. She leads the Sortwell Lab within the Neuroscience Program and Grand Rapids Research Center, focusing on Parkinson's disease (PD) therapeutics. Education : B.S. in Psychology/Pre-medicine (University of Illinois, 1987), Ph.D. in Anatomy and Cell Biology/Neurobiology (University of Illinois at Chicago, 1994) Positions : Assistant/Associate Professor at Rush University Medical Center (1997-2005), Associate Professor at University of Cincinnati (2005-2009), Professor at MSU College of Human Medicine (2009-present) Her research investigates alpha-synuclein pathology in PD using preformed fibril models to study neurodegeneration, neuroinflammation, and therapeutic interventions. She explores neurotrophic factors like BDNF, gene therapies targeting CaV1.3 channels, and deep brain stimulation mechanisms. Her work emphasizes precision medicine approaches to optimize treatment outcomes. Scientific contributions include methodological advancements in neurochemical sensing with diamond electrodes and viral vector delivery systems. Key collaborations include research with Dr. Joe Patterson on alpha-synuclein genetic consequences. Technical Expertise : Immunohistochemistry, stereotactic surgery, in vivo neurotoxicant models, protein analysis (Western blot/ELISA), droplet digital PCR, and neuroinflammatory profiling
Sudin Bhattacharya is an Associate Professor at the BioMolecular Science Gateway, Michigan State University, with affiliations in the Genetics & Genome Sciences Program and Cell & Molecular Biology Program. His research bridges computational biology and toxicology to understand complex biological systems. Email: sbhattac@msu.edu Research Interests Dr. Bhattacharya specializes in systems toxicology, focusing on computational modeling of gene regulatory networks, single-cell transcriptomics, and molecular dynamics in response to environmental toxicants. His work examines how chemical exposures disrupt cellular pathways and contribute to disease mechanisms. Article Trends His recent publications emphasize: Single-cell and single-nucleus RNA sequencing for toxicological profiling Computational models of circadian rhythms and intercellular communication Dose-dependent responses to environmental chemicals like TCDD and heavy metals Mechanistic studies of adipose tissue remodeling and hypertension Applications of machine learning in chemical risk assessment Integrative approaches to liver metabolism and disease modeling Scientific Contributions Dr. Bhattacharya has pioneered multiscale modeling of biological systems, particularly in hepatic and vascular contexts. His work on the aryl hydrocarbon receptor and PPARα signaling networks has advanced predictive toxicology frameworks.
Prashant Mali is a Professor in the Department of Bioengineering at the University of California, San Diego . His research bridges genome engineering, RNA biology, and biomedical applications, with a focus on CRISPR-Cas systems and ADAR-mediated RNA editing. Education : Ph.D. in Bioengineering Key Affiliations : UC San Diego, Altman Clinical and Translational Research Institute Dr. Mali's work centers on CRISPR-Cas9 technology , RNA editing , and human pluripotent stem cells . His lab develops tools for programmable gene regulation, synthetic lethal screens, and metabolic pathway analysis in disease contexts. Recent publications highlight innovations in circular RNA engineering , ADAR activity mapping , and metabolic reprogramming in cancer . His team employs multi-omics approaches and in vivo models to translate genome editing into clinical applications. Students and Collaborators Current Lab Members : Sami Nourreddine (Postdoc), Amir Dailamy (Graduate), Andrew Portell (Graduate), Michael Tong (Graduate) Alumni : Kyle Ford (PhD 2022), Nathan Palmer (PhD 2022), Udit Parekh (PhD 2021) Research Themes CRISPR Screens : Synthetic lethal interactions, oncogenic pathways, metabolic vulnerabilities RNA Editing : ADAR engineering, circular guide RNAs, clinical translation Tissue Engineering : Vascularized organoids, cardiac maturation, ex vivo models
