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Daniel FinleyView profile

Professor

• Ubiquitin-Proteasome Pathway
• Proteostasis
• Protein Degradation
• +7 more

Daniel Finley is a Professor of Cell Biology at Harvard Medical School (HMS), leading the Finley Lab focused on the ubiquitin-proteasome pathway and related regulatory mechanisms. He holds academic appointments within the Department of Cell Biology and sits on the Scientific Advisory Boards of Proteostasis and X-Chem Pharmaceuticals. His research investigates proteasome function, ubiquitin-like proteins, and proteostasis roles in diseases like Alzheimer’s and ALS. Dr. Finley earned his undergraduate degree in biochemistry from Harvard University and a Ph.D. in molecular biology from MIT. After postdoctoral training at MIT, he joined HMS in 1988. His lab explores topics including erythroid proteome remodeling, mitochondrial dysfunction, and neurodegenerative disease mechanisms. Key research areas include: (1) Ubiquitin-proteasome pathway regulation, (2) Proteasome structure/function, (3) Nonproteolytic roles of ubiquitination, and (4) Pathophysiological roles of proteostasis defects in diseases. His work bridges basic cell biology with translational medicine, particularly in neurodegeneration and anemia. Finley has secured NIH funding for projects like 'Regulation of Proteasome Activity' (R35GM145246) and 'Erythrocyte maturation through global proteome remodeling' (R01HL153970). Collaborations with industry and academic partners extend his impact in drug discovery and proteasome-targeted therapies. His lab’s contributions include defining ubiquitin chain editing mechanisms, identifying USP14’s role in mitophagy, and elucidating proteostasis defects in Alzheimer's models. Research tools developed include advanced cryo-EM analyses of proteasomal structures and functional assays for ubiquitin system enzymes.

Anirban PaulView profile

Associate Professor

• Neuroscience
• GABAergic inhibitory circuits
• Interneuron biology
• +5 more

Anirban Paul is an Associate Professor in the Department of Neuroscience and Experimental Therapeutics at Pennsylvania State University, affiliated with the Penn State Neuroscience Institute. His research focuses on cellular and molecular mechanisms of GABAergic inhibitory circuits, with particular emphasis on interneuron biology and its implications in neurological disorders. Dr. Paul's research spans multiple neuroscience domains, with primary focus on GABAergic inhibitory circuits and interneuron biology. His work investigates how specific neuron subtypes, particularly Chandelier cells and cortical interneurons, contribute to brain function and dysfunction. He has made significant contributions to understanding the role of these cells in schizophrenia, Alzheimer's disease, and other neurological conditions. His research integrates molecular, cellular, and systems-level approaches to uncover fundamental mechanisms of neural circuit assembly, plasticity, and function. Key areas include RNA regulation in neuronal development, transcriptomic subtypes of inhibitory neurons, and cell-type specific vulnerabilities in neurodegenerative diseases. His research portfolio demonstrates consistent productivity with publications spanning from 2003 to 2025, showing an evolving focus from basic molecular neuroscience to translational research in neurological disorders. Recent work emphasizes single-cell analysis techniques and the role of specific interneuron populations in disease mechanisms, particularly in schizophrenia and Alzheimer's disease. His publications appear in high-impact neuroscience journals including Neuron, BMC Biology, and Frontiers in Cellular Neuroscience. Dr. Paul has received the NARSAD Young Investigator Award (2018), recognizing his promising research in neuroscience. His scientific contributions have been supported by multiple competitive grants from prestigious organizations including the National Institute on Aging (NIA) and the Brain and Behavior Research Foundation. He serves as Principal Investigator on multiple active research projects, including two major grants from the National Institute on Aging focused on cell-type specific risk and resilience in Alzheimer's disease and aging (2021-2024 and 2024-2026), as well as previous projects from the Brain and Behavior Research Foundation investigating Chandelier cells in schizophrenia. His research program demonstrates sustained funding and scientific leadership in the field of interneuron biology and its clinical implications.

• Developmental Biology
• Neurosciences
• Dopamine Neurons
• +4 more

Thomas Perlmann is a Professor in Molecular Developmental Biology at the Karolinska Institutet , leading research at the Department of Cell and Molecular Biology and serving as Director of the Stockholm Branch of the Ludwig Institute for Cancer Research. He also holds the position of Secretary General of the Nobel Assembly and Nobel Committee for Physiology or Medicine since 2016. Ph.D. , Karolinska Institutet, 1991 M.Sc. , Stockholm University, 1987 Research Interests : The Perlmann lab investigates the specification and maintenance of dopamine neurons in the central nervous system, with a focus on transcriptional regulation , signaling pathways , and regenerative medicine applications for Parkinson’s disease and other neurodegenerative disorders. His work bridges developmental biology and neuroscience , emphasizing the role of transcription factors in neuronal identity and function. Recent Research Trends : Perlmann’s recent publications highlight the use of single-cell RNA sequencing to dissect dopamine neuron heterogeneity , epigenetic regulation during development, and transcriptomic changes in Parkinson’s disease models. His studies increasingly leverage multiomics and bioinformatics to map neuronal lineage trajectories and gene expression dynamics. Scientific Awards : Royal Medal by HM the King (2025) Nicholson Lecturer, Rockefeller University (2011) Göran Gustafsson Prize in Molecular Biology (1999) Eric K. Fernström Young Investigator Prize (1997) Advising & Collaborations : While no student names are explicitly listed, Perlmann collaborates extensively with researchers such as Malin Parmar , Agnete Kirkeby , and Per Svenningsson on projects related to neuronal development and cell therapy . His lab receives funding from institutions like the Ludwig Institute for Cancer Research . Labs & Teams : The Perlmann Lab at Karolinska Institutet includes researchers like Linda Gillberg , Laura Lahti , and Behzad Yaghmaeian Salmani , who work on mouse models , single-cell transcriptomics , and bioinformatics to study dopamine neuron biology.

Karoline FaustView profile

Associate Professor

• Microbial community dynamics
• Microbial systems biology
• Bioinformatics
• +6 more

Karoline Faust is an Associate Professor at KU Leuven, affiliated with the Laboratory of Molecular Bacteriology (Rega Institute) and the Faculty of Medicine . She contributes to the iSi Health and Leuven One Health institutes, and serves on senior academic councils. Her research spans microbial systems biology, focusing on community dynamics and network analysis. Education: PhD in bioinformatics (2010, KU Leuven) Affiliations: KU Leuven, ISME Journal editorial board, Belgian Society for Microbiology Her research investigates microbial community dynamics , systems biology approaches to microbiomes, and bioinformatics tool development . She specializes in modeling human gut microbiota , synthetic microbial communities , and environmental microbiomes (e.g., microplastic impacts on Daphnia microbiomes). Her work integrates metabolic modeling , network analysis , and experimental systems to understand microbial interactions. Recent publications highlight her contributions to microbial network inference , 16S rRNA sequencing protocols , microfluidics , and ecological modeling of microbiomes. She develops tools like manta , miaSim , and CoNet to analyze community structures. Teaching: Karoline co-teaches courses in microbiology, bioinformatics, and network analysis at KU Leuven, and has contributed to international workshops on microbial network inference. Scientific Engagement: She serves as Senior Editor at ISME Journal and Secretary of the Belgian Society for Microbiology .

Jennifer L ClarkeView profile

Professor

• Statistical Methodology
• Bioinformatics/Computational Biology
• Data Mining/Machine Learning
• +3 more

Jennifer L. Clarke is a Professor in the Department of Statistics at the University of Nebraska–Lincoln and Director of the Quantitative Life Science Initiative. She holds leadership roles in enabling big data integration across the University of Nebraska system through collaborative research programs. Her affiliations include the Institute of Agriculture and Natural Resources (IANR) and the College of Agriculture and Natural Resources. Dr. Clarke's research focuses on statistical methodology for high-dimensional data, computational biology, bioinformatics, and bacterial genomics. Her work bridges statistical innovation with applications in oncology, microbiome analysis, and agricultural phenomics. Key areas include predictive modeling, machine learning, and genomic/metagenomic data integration. Her recent publications span cancer biomarker discovery, plant phenotyping methodologies, and microbial community analysis, reflecting her interdisciplinary approach. Articles emphasize translational applications like therapeutic target identification and precision agriculture. Dr. Clarke leads initiatives fostering collaboration between statisticians and domain scientists, including the Quantitative Life Science Initiative and contributions to the Agricultural Genome-to-Phenome Initiative (AG2PI). Her work advances data-driven solutions for healthcare and food security challenges. Notable projects include developing statistical tools for microbiome studies, analyzing root architecture via 3D imaging, and investigating cranberry-derived compounds' cancer-inhibitory mechanisms. Her methodological contributions include hybrid clustering techniques and predictive model validation frameworks.

• Parasitology
• Molecular Biology
• Phylogenetics
• +5 more

David Blair is a Professor at James Cook University, specializing in parasitic flatworms, molecular systematics, and evolutionary biology. His research focuses on understanding the genetic diversity, phylogeography, and host-parasite interactions of species such as Schistosoma, Paragonimus, and Opisthorchis. He has contributed extensively to studies on the molecular evolution of parasitic organisms and their implications for human and wildlife health. Key research areas include: molecular taxonomy of trematodes, phylogenetic analysis of parasitic flatworms, and genomic studies of host-parasite coevolution. Collaborations span global institutions, addressing public health challenges like paragonimiasis and fasciolosis. His work integrates field studies, lab-based molecular techniques, and computational biology to unravel evolutionary dynamics and ecological adaptations. Recent studies focus on the genetic diversity of Daphnia species, dugong population genetics, and drug-resistant Mycobacterium tuberculosis. His publications in journals like *Parasitology*, *Molecular Phylogenetics and Evolution*, and *Scientific Reports* highlight interdisciplinary approaches to parasitology and conservation biology.

Katy D. HeathView profile

Professor

• Microbiome and Microbial Communities
• Evolutionary Genetics
• Symbiosis and Mutualism Evolution
• +3 more

Katy D. Heath is a Professor of Plant Biology and Affiliate Professor in Microbiology at the University of Illinois Urbana-Champaign (UIUC). She leads the Plant Biology department and is affiliated with the Carl R. Woese Institute for Genomic Biology. Her research focuses on the evolution of mutualisms, particularly plant-microbe interactions such as legume-rhizobium symbiosis, emphasizing genetic and ecological factors influencing symbiotic stability and adaptation. She investigates how environmental pressures (e.g., global change) shape mutualistic relationships and microbial community dynamics. Education: B.S. (2000) and Ph.D. (2007) from the University of Illinois and University of Minnesota, respectively, followed by postdoctoral work at the University of Toronto (2007–2009). Research Interests: Symbiosis evolution, microbial genetics, plasmid transmission dynamics, and the impacts of agricultural practices on rhizobia populations. She studies diverse systems, including Medicago-Sinorhizobium, soybean-Bradyrhizobium, and invasive legume-rhizobium interactions. Recent publications (2020–2025) highlight studies on endophyte impacts on soybean yield, rhizobia diversity under conventional farming, and genomic analyses of symbiotic coevolution. Her work integrates molecular biology, quantitative genetics, and ecology. Grants & Collaborations: Lead PI on a $12.5M NSF Biology Integration Institute (Genomics and Eco-evolution of Multi-scale Symbiosis). Her team includes collaborations with institutions like Indiana University and the University of Chicago. Labs & Teams: Heath Lab focuses on symbiosis research, with active projects on microbiome dynamics, plasmid-host coevolution, and community outreach (e.g., Boys and Girls Club collaborations). Recent lab highlights include student graduations (e.g., Ivan Sosa Marquez, Chase) and awards like the John R. Laughnan Award in Plant Biology.

Michael BaymView profile

Associate Professor

• Microbial Evolutionary Genomics
• Antibiotic Resistance
• Computational Biology
• +7 more

Dr. Michael Baym is an Associate Professor of Biomedical Informatics at Harvard Medical School with affiliate appointments in Microbiology and the Laboratory of Systems Pharmacology, and as an Associate Member of the Broad Institute. He leads the Baym Lab, which studies microbial evolutionary genomics and antibiotic resistance through a hybrid of experimental, computational, and theoretical approaches. His research focuses on: Antibiotic Resistance Evolution and practical interventions Mobile Genetic Elements (plasmids, phages, transposons) Computational Genomic Algorithms for big data analysis Synthetic Biology tools and technologies Key recent publications explore phage discovery systems , phylogenetic compression of microbial genomes, and RNA-guided gene drives in plasmids. His work is supported by multiple NIH/NIGMS and NSF grants including a MIRA award. Scientific honors include: Packard Fellowship (2018) Pew Biomedical Scholarship (2020) Sloan Research Fellowship (2020) A. Clifford Barger Excellence in Mentoring Award (2021) SSQBio Mentorship Award (2022) The lab actively trains PhD students and postdoctoral fellows with alumni occupying academic and industry positions globally. Current team members include researchers from interdisciplinary backgrounds working at the intersection of experiment, computation, and theory .

Jeremy WangView profile

Assistant Professor

• Computational Biology
• Genomics
• Microbiome Research
• +7 more

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.

Istvan ModyView profile

Professor

• Neuroscience
• Neurology
• Pharmacology
• +12 more

Istvan Mody is a Professor at the University of California, Los Angeles (UCLA) with appointments in the Department of Neurology and Department of Physiology . His research focuses on synaptic signaling in health and disease, including mechanisms of GABAergic transmission, calcium homeostasis, and their roles in neurological disorders such as epilepsy, Alzheimer's disease, Huntington's disease, stress, alcoholism, and postpartum depression. He utilizes advanced techniques like patch-clamp electrophysiology, neuroanatomical and immunohistochemical methods, and molecular biology in animal models and human brain tissue . Research Interests: Dr. Mody investigates the physiology, pharmacology, and pathology of synaptic transmission and extrasynaptic receptor activation , with a particular emphasis on GABA(A) receptors and their subunit-specific modulation. His work explores how disruptions in excitation-inhibition balance contribute to neurological diseases, including mechanisms of tonic inhibition , calcium signaling , and neurosteroid interactions . He also studies the effects of chronic stress and hormonal fluctuations on neural excitability and behavior. Publications Trends: Recent studies highlight his work on gamma oscillations in Alzheimer's models, microglial dynamics , and rehabilitation strategies for stroke. His lab develops optical tools like dqGEVI for neuronal activity monitoring and investigates human brain organoids to model network dysfunction in epilepsy and intellectual disability. Laboratory Location: 635 Charles Young Dr S, Los Angeles, CA 90095, United States.

• Bioinformatics
• Genomics
• Cancer Genomics
• +7 more

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.

Maizie ZhouView profile

Assistant Professor

• Computational Genomics
• Bioinformatics
• Computational Neuroscience
• +6 more

Maizie Zhou is an Assistant Professor in Biomedical Engineering and Computer Science at Vanderbilt University’s School of Engineering. She holds dual PhDs in Computer Science (Stanford University) and Neuroscience (Wake Forest School of Medicine), with additional degrees from Wake Forest University and Huazhong University of Science and Technology. Her research focuses on computational genomics, bioinformatics, and machine learning applied to problems in cancer genomics, single-cell and spatial transcriptomics, and computational neuroscience. She leads the Zhou Lab, which develops algorithms for structural variant detection, neural circuit analysis, and integrative omics approaches. Recent work includes tools like VolcanoSV and stDyer, and she has received grants from NIH, Vanderbilt Brain Institute, and industry partnerships. Key achievements include VUSE Best Paper Awards, Global Engagement Travel Grants, and mentoring students in prestigious programs like the Provost’s Pathbreaking Discovery Award. Her lab also explores the neural underpinnings of cognitive maturation in primates, combining computational and experimental neuroscience. Education: PhDs in Computer Science (Stanford) and Neuroscience (Wake Forest), MS (Computer Science, Wake Forest), BS (Biotechnology, Huazhong). Research interests span computational genomics (e.g., structural variant detection, haplotype phasing), spatial transcriptomics (clustering, integration), and computational neuroscience (neural circuit dynamics, prefrontal cortex plasticity). Her lab’s tools address challenges in precision medicine, cancer genomics, and understanding adolescent brain development. Recent projects include NIH-funded work on spatial transcriptomics and collaborations with Dr. Meltzer’s lab on cancer genomics. Publications highlight advancements in bioinformatics tools and neural mechanisms, with trends toward multi-omics integration and algorithmic innovation in genomics. Awards include the Global Engagement Travel Grant and CCSB Accelerator Fund. Students under her mentorship have excelled in qualifying exams and travel grants, reflecting her impactful training program.

Alicia CheView profile

Assistant Professor

• Neuroscience
• Developmental Neuroscience
• Behavioral Neuroscience
• +5 more

Alicia Che is an Assistant Professor of Psychiatry at Yale University School of Medicine and serves as Director of Graduate Admissions for the Interdepartmental Neuroscience Program. She joined the Yale Department of Psychiatry in 2021 after completing her postdoctoral fellowship with Dr. Natalia De Marco García at Weill Cornell Medical College and Dr. Gord Fishell at NYU. Her research is conducted through the Che Lab at Yale, where she investigates how early life experiences impact brain circuit assembly and mature function in models of psychiatric illness. Yale School of Medicine, Department of Psychiatry Interdepartmental Neuroscience Program Center for Brain & Mind Health Division of Molecular Psychiatry Wu Tsai Institute Yale Center for the Science of Cannabis and Cannabinoids Dr. Che earned her Ph.D. in Physiology and Neurobiology from the University of Connecticut in 2014, where she worked in the laboratory of Dr. Joseph LoTurco. She received her B.S. with triple majors in Biology, Physics, and Physical Chemistry from Pacific Lutheran University in Washington state in 2009. Her research focuses on understanding developmental trajectories following early life experiences to develop diagnostics and early interventions for psychiatric illnesses. Dr. Che's research examines how sensory inputs, social bonding, stress, and substance exposure impact brain development. She employs a multi-dimensional approach to assess transcriptional, circuit, neuronal activity, and behavioral changes across the entire developmental timeline. Her lab currently focuses on four specific areas: the role of oxytocin in social behavior development, circuit dysfunction in PTSD, early-life cannabinoid exposure effects, and the impact of early life stress on development and adulthood. She utilizes advanced techniques including mouse genetics, slice electrophysiology, and longitudinal in vivo 2-photon imaging on behaving animals. Her most recent publications demonstrate significant contributions to understanding neural circuit development, PTSD mechanisms, and the effects of early life experiences on brain function. Her work spans from molecular neuroscience to behavioral outcomes, with publications in top journals including Nature, Neuron, and Nature Communications. Her research has revealed important insights into how translaminar neuronal activity strengthens cortical columns, how oxytocin facilitates social touch development, and how PTSD affects brain transcriptomics. NARSAD Young Investigator Award (2020) K99/R00 Pathway to Independence Award from NINDS (2019) Dr. Che's work has significant implications for understanding and treating neurodevelopmental disorders, PTSD, and the consequences of early life experiences on mental health. She collaborates extensively with researchers across Yale and beyond, with frequent co-authorship with colleagues including Lin Lin, Alex Kwan, and Christopher Pittenger. Her research program bridges basic neuroscience with clinical applications, aiming to translate findings into potential interventions for psychiatric conditions.

• Plant Developmental Biology
• Epigenetics
• Plant Genetics
• +5 more

Ueli Grossniklaus is an Ordinary Professor at the University of Zurich within the Faculty of Mathematical and Natural Sciences , affiliated with the Department of Plant and Microbiology . His work focuses on plant developmental biology, particularly epigenetic and genetic mechanisms governing reproduction and adaptation. Key Courses: Epigenetics, Plant Biology Workshop, Group Seminars on Current Research Laboratory Techniques: Advanced methods in plant cell mechanics, transcriptomics, and genome editing Research Interests span plant epigenetics, reproductive biology, and the interplay between environmental stress and genetic regulation. He investigates: Mechanistic control of gametogenesis and fertilization Epigenetic contributions to plant adaptation Evolutionary implications of asexual reproduction Biophysical forces in plant cell growth Publication Trends (2025–2018) reveal expertise in: Arabidopsis and fern model systems Epigenetic regulation (DNA methylation, histone dynamics) Apomixis and hybrid seed failure mechanisms Biomechanics of pollen tubes and carnivorous plants Genome editing tools (CRISPR) and long-read sequencing Scientific Collaborations include interdisciplinary projects on: Microfluidic devices for plant cell analysis Gene drive ecology and ethics 3D imaging of plant reproductive structures Advising and Grants focus on mentoring through research internships in developmental biology, genetics, and systems biology. His lab engages in: Epigenetic response to environmental stress Cell wall mechanics in reproduction Computational modeling of plant growth Laboratory Teams integrate plant biologists, bioengineers, and computational scientists to study: Mechanistic gene regulation Evolutionary developmental biology Microrobotics for cellular force measurement

• Synthetic Biology
• Enzyme Engineering
• Genetic Circuits
• +3 more

Dr. Seung-gu Lee is a Principal Scientist and Director of the Synthetic Biology Institute at the Korea Research Institute of Bioscience and Biotechnology (KRIBB). He holds a Ph.D. in Biotechnology from KAIST and serves as the President of the Korean Society of Enzyme Engineering. His leadership extends to multiple national research initiatives focused on advancing synthetic biology infrastructure and applications. Dr. Lee is a leading expert in genetic circuits and enzyme engineering for synthetic biology. He pioneered the development of GESS (Genic Enzyme Screening System/Circuits) technology, which enables ultra-high-speed screening of trace enzyme activities at the single-cell level. His research focuses on applying intelligent genetic circuits to biosensors, metabolic control, and bioprocess development. He is actively integrating AI-based automated workflows with synthetic biology to revolutionize the speed and scale of biological research. His work spans multiple disciplines including enzyme engineering, genetic circuit design, metabolic engineering, and biofoundry development. Dr. Lee currently leads several major research initiatives including the Korea-North America Biofoundry Collaboration Global Joint Research Center, the development of core technologies for advanced synthetic biology, and the establishment of biofoundry infrastructure. His research team at KRIBB works at the intersection of synthetic biology, enzyme engineering, and AI-based automation to develop next-generation bio-manufacturing platforms. The lab has made significant contributions to genetic circuit design, biosensor development, and plastic biodegradation technologies.