جست‌وجوی استاد و پژوهشگر

Ghazaleh Tabatabaiمشاهده پروفایل

استاد

• Neuro-Oncology
• Glioma Biology
• Meningioma Research
• +۵ مورد دیگر

Professor Ghazaleh Tabatabai serves as Head of Department for Clinical and Experimental Neuro-Oncology at the Hertie Institute for Clinical Brain Research, University of Tübingen. She leads a multidisciplinary research group focused on translational neuro-oncology with active collaborations through the German Glioma Network, German Cancer Consortium (DKTK), European Organisation for Research and Treatment of Cancer (EORTC), European Association of Neuro-Oncology (EANO), and International Consortium on Meningioma (ICOM). Her research program centers on molecular mechanisms of tumorigenesis, therapy resistance, and treatment-induced vulnerabilities in nervous system tumors. The laboratory employs CRISPR screening technologies, molecular profiling, and preclinical models to identify therapeutic targets, with particular expertise in glioma and meningioma biology. Current projects span from discovery through validation to clinical application, including phase I/II trials of novel therapies such as CureVac's mRNA vaccine candidate CVGBM. Recent publications demonstrate leadership in molecular classification of meningiomas, CRISPR-based target discovery, immunotherapy development, and clinical trial design. Her work on the TRACE app for patient-reported outcomes and the PRIDE trial for dose-escalated radiation therapy represents significant clinical translation efforts. The 2024-2025 publication record shows strong productivity with high-impact papers in Neuro-Oncology, Nature Medicine, and Genome Biology. Elected spokesperson of the DFG Board for Neuroscience (2024) Active participation in EANO guideline development Leadership in multiple international consortia including ICOM Principal investigator for clinical trials including N2M2/NOA-20 umbrella trial Professor Tabatabai mentors a large research team including PhD students, medical doctoral candidates, and postdoctoral researchers. Her laboratory maintains active clinical collaborations across neurosurgery, radiation oncology, and medical oncology departments. She is featured in the 'Key To My Research' podcast discussing tumor intelligence and regularly presents at major neuro-oncology conferences including ASCO, EANO, and SNO.

Gerald Urbanمشاهده پروفایل

استاد

• Biomedical Microtechnology
• Sensorics
• Microsystem Technology
• +۷ مورد دیگر

Prof. Dr. Gerald Urban is a distinguished Professor at the Institute for Microsystems Technology (IMTEK) within the Faculty of Engineering at the University of Freiburg, Germany. With over three decades of academic and research experience, he has established himself as a leading expert in biomedical microtechnology and sensor systems. His career spans prestigious institutions including the Vienna University of Technology and collaborations with major research centers worldwide. His educational journey includes: 1973: Graduated from Sigmund Freud Gymnasium in Vienna 1979: Completed studies in Technical Physics at Vienna University of Technology 1985: Earned Doctorate (Dr.-Ing.) with distinction (Summa cum Laude) from Vienna University of Technology 1994: Completed habilitation in Sensorics Prof. Urban's research focuses on the development and application of miniaturized integrated sensors for clinical and industrial applications. His work bridges the gap between fundamental materials science and practical medical devices, with particular emphasis on biomedical microtechnology , electrochemical biosensors , and organ-on-chip systems . His team has pioneered innovations in point-of-care diagnostics, therapeutic drug monitoring, and micro energy harvesting technologies. The research group maintains strong collaborations with clinical partners to ensure translational impact of their technological developments. Analysis of Prof. Urban's recent publications reveals a clear trajectory toward increasingly sophisticated multiplexed sensing platforms that integrate CRISPR-based diagnostics with electrochemical detection systems. His work demonstrates growing emphasis on point-of-care applications, with particular focus on making complex diagnostic capabilities accessible outside traditional laboratory settings. The integration of additive manufacturing techniques with sensor technology represents another significant trend in his recent work, enabling customized microreactor and organ-on-chip platforms. Among his notable scientific achievements: Stefan Schuy Prize for Biomedical Engineering (1990) AVL-List Prize (1993) Best Poster at Eurosensors (1993) Hoechst-Price (1994) Corresponding member of the Austrian Academy of Sciences (2010) EAMBES-Fellow (2018) Prof. Urban has successfully secured substantial research funding throughout his career, with accumulated third-party funding reaching approximately 5 million euros between 1986-1995. He has established multiple spin-off companies including Otto Sensorenfabrikationsgesellschaft (1985), Biosensor GnbR (1994), and Jobst Technologies GmbH (2002), demonstrating his commitment to translating research into practical applications. His leadership extends to major research initiatives including the excellence initiative "µMAT" and the graduate school "PolyMIC". At the University of Freiburg, Prof. Urban leads a vibrant research group within the Institute for Microsystems Technology, which forms part of the larger BrainLinks-BrainTools and BIOSS research clusters. His laboratory maintains state-of-the-art facilities for microsensor fabrication, including cleanroom access through the WebFab service center. The research environment benefits from strong connections with the Freiburg Material Research Center (FMF) and the Freiburg Institute for Advanced Studies (FRIAS), where he served as an Internal Fellow (2008-2010).

• Food Science
• Food Processing
• Novel Non-thermal Processing
• +۷ مورد دیگر

Anubhav Pratap-Singh is an Associate Professor in the Food, Nutrition and Health department within the Faculty of Land and Food Systems at the University of British Columbia, where he holds the Food and Beverage Innovation Professorship. He leads the UBC Food Process Engineering Laboratory and his research spans environmental and natural resources economics, food chemistry (including fermentation), and natural resource management. His primary research interests focus on agri-food transformation, cold plasma food engineering, food processing, functional foods, heat transfer, high pressure mass transfer, novel non-thermal processing, nutraceuticals, pasteurization, and pulsed light sterilization. Dr. Pratap-Singh's work addresses fundamental questions about the impact of food processing on food quality, how technology can maximize desirable effects while minimizing deleterious ones to feed the growing global population, and how to ensure food safety and nutrition for all socioeconomic groups. His research program is organized around three main pillars: developing novel processing technologies for food preservation, developing technologies for food fortification, and modeling the human GI tract to understand the interaction between food processing and human health. He has made significant contributions to sonic mixing technology for thermal processing and pulsed UV light processing for food surface decontamination, with particular expertise in processing of liquid particulate matter. Dr. Pratap-Singh has received numerous prestigious awards throughout his career, including the Banting Fellowship (2016) and Green College Leading Scholar award (2017). His work has been recognized with the Young Entrepreneur Award (2009), IFTPS Graduate Scholar designation (2014), and Gold Medal from the Institute for Thermal Processing Specialists (2014), among other fellowships and honors. He is affiliated with the BioProducts Institute and Materials and Manufacturing Research Institute at UBC, and supervises graduate students in Food Science (MSc and PhD programs). His laboratory focuses on interdisciplinary research that addresses critical challenges in food science, with implications for feeding the projected 10 billion people by 2050 while countering negative public perceptions around processed foods.

Michael Skinniderمشاهده پروفایل

استادیار

• Computational Biology
• Machine Learning
• Metabolomics
• +۴ مورد دیگر

Michael Skinnider serves as Assistant Professor at Princeton University's Lewis-Sigler Institute for Integrative Genomics and Assistant Member of the Ludwig Princeton Branch. His research develops AI-driven computational methods to identify unknown small molecules in mass spectrometry data, with applications in cancer biology and forensic drug detection. His educational background includes: BArtsSc from McMaster University (2015) PhD from University of British Columbia (2021) MD from University of British Columbia (2023) Skinnider's work centers on illuminating the "metabolomic dark matter" —unidentified chemical entities in mass spectrometry data. His lab pioneers machine learning approaches for metabolite identification, focusing on connections between unknown metabolites, cancer risk, and the microbiome. Recent innovations include chemical language models that transform mass spectrometry outputs into chemical structures, with applications spanning cancer diagnostics to forensic analysis of designer drugs. His research bridges computational biology, chemistry, and clinical medicine through low-data learning techniques. Publication trends reveal three dominant themes: (1) AI-driven metabolite identification (25% of recent work), (2) single-cell/spatial data analysis (40%), and (3) molecular interaction networks (35%). His 2024 Nature Machine Intelligence paper demonstrated that invalid SMILES strings enhance chemical language models , overturning previous assumptions. Articles consistently apply computational methods to biological discovery, with growing emphasis on cancer metabolism and translational applications. Major recognitions include: Forbes 30 Under 30 (2022) International Birnstiel Award (2022) Dan David Prize Borealis AI Fellowship NIH Award C&EN's Talented Twelve (2023) Young Explorer Award Grand Prize Skinnider leads the Skinnider Research Lab at Princeton's Carl Icahn Laboratory, which collaborates with forensic laboratories and Ludwig cancer researchers. The lab specializes in transforming mass spectrometry data into biological insights through innovative algorithms. During his undergraduate studies, he co-founded Adapsyn Bioscience to translate natural product discovery research into commercial applications. Current projects include developing metabolome-wide identification tools and exploring diet-derived metabolites that modulate cancer progression.

Lu Weiمشاهده پروفایل

استادیار

• Optical Spectroscopy
• Biophysics
• Bio-imaging
• +۷ مورد دیگر

Lu Wei is an Assistant Professor of Chemistry at the California Institute of Technology and an Investigator at the Heritage Medical Research Institute. She holds a B.S. from Nanjing University (2010) and a Ph.D. from Columbia University (2015), joining Caltech in 2018. Research Areas: Optical spectroscopy, Biophysics, Bio-imaging, Chemical probe development Education: B.S. Nanjing University (2010), Ph.D. Columbia (2015) Research Interests include next-generation optical imaging techniques based on nonlinear vibrational spectroscopy for live-cell dynamics. Her work spans super-resolution label-free imaging , quantitative polyQ aggregate analysis in Huntington’s disease, Raman-guided pharmacometabolomics for melanoma, and environmental sensing in subcellular systems. Recent Publications highlight trends in vibrational thermometry (2025), high-speed bond-selective imaging (2025), and photochromic Raman microscopy (2023), with applications from single-molecule to cellular biology . 2024 Margaret Oakley Dayhoff Award 2023 NSF CAREER Award 2022 Sloan Research Fellowship 2021 Scialog Fellow Students : 5 Ph.D. graduates (Dr. Jiajun Du, Dr. Kun Miao, Dr. Xiaotian Bi, Dr. Li-En Lin, Dr. Dongkwan Lee) and current advisees including Adrian, RJ, Phil, Yulu, Berea, and Kwan. The lab has received grants from the Chan Zuckerberg Initiative, NSF, Curci Foundation, and Eli Lilly. Labs & Collaborations : The Wei Lab at Caltech collaborates with Karthikeyan (metabolic imaging) and Mazmanian Labs (microbiome studies). They host interdisciplinary teams in physical chemistry and chemical biology.

Judith Litvin Danielsمشاهده پروفایل

دانشیار

• Cellular and Molecular Developmental Biology
• Cardiac Development
• Bone Biology
• +۲ مورد دیگر

Judith Litvin Daniels is an Associate Professor at Temple University's Lewis Katz School of Medicine, specializing in Biomedical Education and Data Science. She chairs the Curriculum Committee, serves as Vice Chair of Education, and acts as Ombudsperson and Educator across Medical, Dental, Podiatry, and Graduate levels. PhD in Nutrition-Biochemistry, University of North Carolina Post-doctoral Fellowships at Cornell University Medical School and University of Virginia Her research spans cellular and molecular developmental biology, focusing on avian heart development, cardiac progenitor cells, and the role of Periostin-Like-Factor (PLF) in bone-heart connections. Recent work explores PLF's role in bone formation and disease. Key article trends include cardiac development , bone biology , extracellular matrix proteins , and inflammatory responses . Collaborative studies address clinical applications in traumatic brain injury and cancer biology. She has mentored students at all academic levels, with many winning regional/national awards, and organized faculty mentorship workshops. Publications highlight collaborations in Cell Molecular Life Sciences , J Cell Biochemistry , and Development . Labs and teams at Temple University focus on integrating molecular biology with translational research, particularly in the Fels Cancer Institute for Personalized Medicine.

Sudhir Kumarمشاهده پروفایل

استاد

• Molecular Evolution
• Phylomedicine
• Functional Genomics
• +۵ مورد دیگر

Sudhir Kumar is a Professor and Principal Investigator at Temple University, leading a research laboratory focused on molecular evolution, phylomedicine, and functional genomics. His lab develops mathematical methods, computational algorithms, and software packages for analyzing genomic variation across populations, pathogens, tumors, and species. Key contributions include the widely used MEGA software (www.megasoftware.net) for molecular evolutionary analysis and the TimeTree knowledge-base (www.timetree.org) that synthesizes evolutionary knowledge on species divergence times. Dr. Kumar's research interests center on integrating mathematical and computational techniques into evolutionary biology and biomedicine. His lab pursues a holistic paradigm where evolutionary and genomic patterns are discovered through comparative analysis of big datasets, then used to reveal underlying biological processes and develop predictive models. His work spans phylomedicine of genetic diseases, molecular phylogenomics, and the timetree of life, with recent innovations including Bayesian methods, machine learning algorithms, and statistical approaches for inferring molecular phylogenies, divergence times, and pathogenic mutations. Analysis of his recent publications reveals a strong trend toward applying artificial intelligence and machine learning to evolutionary genetics, with multiple 2025 papers focused on sparse learning techniques, transformer-based models, and AI-assisted analytical protocols. His work increasingly bridges evolutionary biology with cancer genomics and precision medicine applications. His scientific achievements have been recognized with the prestigious 2025 George W. Beadle Award from the Genetics Society of America, which honors his "efforts to democratize evolutionary genetics." Dr. Kumar has mentored numerous doctoral candidates, postdoctoral researchers, and graduate students, many of whom have gone on to faculty positions at institutions including Oakland University and universities in Brazil. His lab includes current doctoral candidates working in bioinformatics and statistical molecular evolution, supported by technical staff including programmers, genome tech specialists, and informatics specialists. The Kumar Laboratory operates as an interdisciplinary research hub with multiple projects including MEGA (Molecular Evolutionary Genetics Analysis), TimeTree, myPEG (web-based evolutionary tools), and FlyExpress (a knowledge base for Drosophila melanogaster embryo images). The lab emphasizes green computing efforts aimed at democratizing scientific practice and making big data analytics more accessible.

Leif Anderssonمشاهده پروفایل

استاد

• Genetics and Genomics
• Evolutionary Biology
• Comparative Genomics
• +۳ مورد دیگر

Leif Andersson is a Professor at Uppsala University's Department of Medical Biochemistry and Microbiology, leading a research group focused on functional genomics in domestic animals and fish. His work bridges genetics, ecology, and evolutionary biology to explore phenotypic variation and adaptation. His research includes comparative genomics of domesticated species, identifying mutations linked to traits like horse gaits , chicken comb morphology , and herring ecological adaptation . Recent studies highlight genetic mechanisms in species such as corn snakes , Grey horses , and Darwin's finches , emphasizing environmental interactions and molecular pathways. Key article trends include supergenes in herring adaptation, RNA-binding proteins in cancer and development, and mutation-discovery in domesticated animals. His group's work spans genetic variation , ecological pressures , and evolutionary genetics . Students in his group include Arianna Cocco Ryan Joseph Daniels Jake Goodall Zheng Li Cheng Ma Giulia Maestri Fahime Mohamadnejad Sangdehi Mats Pettersson Matteo Sebastianelli Leyi Su Dandan Wang His contact details include the email Leif.Andersson@imbim.uu.se and phone number 070-425 02 33 , with an office at BMC, Husargatan 3, Uppsala.

Martin A. Kriegelمشاهده پروفایل

استاد

• Host-microbiota interactions in autoimmunity
• Gut commensal translocation mechanisms
• Microbiota-induced immune cell migration
• +۵ مورد دیگر

Univ.-Prof. Dr. med. Martin A. Kriegel serves as full Professor and Department Head of the Department of Translational Rheumatology and Immunology at the Institute of Musculoskeletal Medicine, University of Münster, while maintaining an active laboratory at Yale School of Medicine. He leads the Section for Rheumatology and Clinical Immunology (SRKI) at Medical Clinic D, where his team integrates clinical care with cutting-edge microbiome research. His department operates from Röntgenstraße 21 and Von-Esmarch-Str. 54 in Münster, Germany, with extensive collaborations including the "Cells in Motion" research initiative and the CiM-IMPRS graduate program. Dr. Kriegel's research program focuses on the critical interface between host immunity and microbiota, particularly investigating how gut commensals translocate to host tissues and trigger autoimmune responses. His laboratory pioneered the discovery that specific pathobionts like Enterococcus gallinarum and certain Lactobacillus strains can translocate from the gut to mesenteric lymph nodes, liver, and other sites, driving autoimmune responses through molecular mimicry of human autoantigens. His work has established fundamental mechanisms by which microbiota influence rheumatic diseases, cutaneous autoimmunity, and cancer immunology, with particular emphasis on Ro60 autoantigen mimicry, TLR7-dependent pathways, and diet-microbiome interactions. The laboratory employs advanced techniques including gnotobiotic mouse models, humanized systems, and detailed molecular characterization of host-pathobiont interactions. Analysis of Dr. Kriegel's publication record reveals a consistent trajectory of high-impact research connecting microbiome dynamics to autoimmune pathogenesis. His most recent work (2023-2025) demonstrates increasingly sophisticated understanding of how specific bacterial strains influence disease phenotypes across multiple autoimmune conditions, with notable advances in identifying shared microbiome signatures across lupus and inflammatory bowel disease. The publications show progressive refinement from initial observations of microbial translocation to detailed mechanistic insights into tryptophan catabolism pathways, structural basis of molecular mimicry, and diet-sensitive microbial triggers. Dr. Kriegel's scientific recognition includes US Patent No. 11,058,756 B2 for compositions treating autoimmune diseases by reducing enterococcus, reflecting the translational potential of his research. His laboratory receives substantial funding, most notably a $3 million award from the Lupus Research Alliance for the TransLuMi project investigating gut pathobiont translocation in systemic lupus erythematosus. As an educator and mentor, Dr. Kriegel directs a substantial research team including multiple postdocs (Drs. Marcia Pereira, Nathalie Becker), PhD candidates (Anna Brinkhege, Carina Brune, Helen Fuhrmann), and laboratory specialists. He participates in the CiM-IMPRS graduate program and supervises medical students through the MedK program. His laboratory currently manages multiple significant research projects including: (A) intestinal wall permeability and pathobiont translocation in autoimmunity; (B) diet-environment-microbiome interactions; (C) microbiota disruption of immunological tolerance; and (D) microbiome roles in lymphoma development. The Kriegel laboratory maintains state-of-the-art facilities at both Münster and Yale, with specialized capabilities in gnotobiotic research, microbiome analysis, and immune profiling. His team collaborates with international partners including Dr. Eran Elinav at Weizmann Institute, Dr. Nissan Yissachar at Bar-Ilan University, Prof. George Tsokos at Harvard, and Prof. Ilana Brito at Cornell University. The laboratory's website (https://www.medizin.uni-muenster.de/mikrobiom/startseite/) details ongoing projects and research opportunities.

Thomas Cheatham IIIمشاهده پروفایل

استاد

• Computational Chemistry
• Molecular Dynamics
• Biomolecular Simulation
• +۴ مورد دیگر

Thomas Cheatham III is a Professor of Medicinal Chemistry in the College of Pharmacy and Adjunct Professor of Biomedical Engineering at the University of Utah, specializing in computational biomolecular simulation methodologies. His work bridges theoretical chemistry and biological applications through advanced molecular dynamics techniques. Education: B.A., Middlebury College Ph.D., University of California, San Francisco Research Focus: Dr. Cheatham pioneers molecular dynamics and free energy simulation methods (AMBER/CHARMM) for proteins, nucleic acids, and lipids. His group addresses critical challenges in environmental dependence of nucleic acid structure (ion/hydration effects on DNA), conformational transition pathways (e.g., B-DNA/Z-DNA junctions), and macromolecular flexibility beyond static experimental structures. Recent innovations target force field refinement for modified nucleic acids and polarizable models. Publication Trends: Analysis of his 2023-2025 publications reveals three dominant themes: (1) Nucleic acid force field optimization (60% of recent work), particularly RNA/DNA parameterization; (2) Development of simulation infrastructure including FAIR data principles and AmberTools; (3) Application-driven studies of therapeutic targets like Bcr-Abl inhibitors. His work increasingly integrates polarizable force fields and high-performance computing. Research Infrastructure: He leads the AMBER biomolecular simulation software development effort and maintains an active laboratory focused on methodological innovation. His group collaborates extensively with experimentalists to validate computational predictions and provides open-source tools (PTRAJ/CPPTRAJ) used globally. Current initiatives emphasize reproducibility through standardized simulation protocols and data sharing frameworks.

Kathleen J. Stebeمشاهده پروفایل

استاد

• Soft Matter
• Fluid Dynamics
• Interfacial Science
• +۴ مورد دیگر

Kathleen J. Stebe is a Professor and the Richer and Elizabeth Goodwin Professor of Engineering and Applied Science at the University of Pennsylvania's School of Engineering and Applied Science. She leads the Stebe Group, focusing on Chemical and Biomolecular Engineering with a research agenda centered on complex fluid interfaces and directed assembly in soft matter.

• Diabetes Research
• Metabolism
• Endocrinology
• +۳ مورد دیگر

Hadi Al-Hasani serves as University Professor and Director of the Institute for Clinical Biochemistry and Pathobiochemistry at the German Diabetes Center (DDZ), affiliated with Heinrich Heine University Düsseldorf's Medical Faculty. He concurrently leads the Research Group Pathochemistry, focusing on molecular mechanisms of diabetes and metabolic disorders through biochemical and genetic approaches. His primary research domains include Diabetes Pathogenesis , Insulin Signaling Pathways , and Metabolic Regulation , with specific expertise in Rab GTPase proteins (TBC1D1/TBC1D4), glucose transporter dynamics, and islet biology. Utilizing polygenic mouse models, his work bridges molecular biochemistry with clinical metabolic phenotypes to identify therapeutic targets for diabetes and obesity. Analysis of his 2007-2018 publications reveals consistent innovation in diabetes mechanisms, particularly through comparative genomics of insulin secretion pathways and Rab-GAP protein functions. His research demonstrates progressive exploration from foundational GLUT4 trafficking studies (1998) to contemporary investigations of metabolic syndrome gene networks and tissue-specific insulin resistance. Professor Al-Hasani's laboratory operates within the Pathochemistry Research Group at the Institute for Clinical Biochemistry and Pathobiochemistry, where his team integrates biochemical, genetic, and physiological methodologies to dissect molecular pathways underlying metabolic disease progression.

Fabrizio Marinelliمشاهده پروفایل

دانشیار

• Biophysics
• Molecular Simulation
• Membrane Transport
• +۳ مورد دیگر

Fabrizio Marinelli is an Associate Professor of Biophysics and Data Science at the Medical College of Wisconsin (MCW), effective July 2025, and holds an adjunct senior investigator position at the Versiti Blood Research Institute. He previously served as a staff scientist at the National Heart, Lung, and Blood Institute (NHLBI/NIH) and conducted postdoctoral research at the Max Planck Institute of Biophysics and NIH. Educational background includes a PhD in Statistical and Biological Physics from the International School for Advanced Studies (Trieste, Italy), an MS in Chemistry from La Sapienza University (Rome), and postdoctoral training in molecular biophysics. His research focuses on computational modeling of molecular mechanisms in membrane transport, signaling, and morphological changes, integrating advanced simulation techniques with experimental data (e.g., EPR/DEER, HDX-MS, cryo-EM). Key methodologies include enhanced sampling methods, free-energy calculations, and machine learning. Research highlights include elucidating mechanisms of Na+/Ca2+ exchangers, ion selectivity in lysosomal K+ channels, and structural interpretation of DEER and HDX data. He leads the Biophysics Graduate Program’s recruitment efforts and actively collaborates with experimental labs to bridge theory and experiment. Lab members include postdocs William Brown and Sandra Byju, and graduate student Tyler Trask. Publications emphasize computational tools (e.g., PLUMED, Colvars library) and reproducibility in molecular simulations. His work aims to advance therapies for infectious diseases, drug resistance, and cancer through mechanistic insights into proteins and membranes.

Debswapna Bhattacharyaمشاهده پروفایل

دانشیار

• Computational Biology
• Bioinformatics
• Machine Learning
• +۵ مورد دیگر

Debswapna Bhattacharya is an Associate Professor in the Department of Computer Science at Virginia Tech. Her research focuses on computational biology, bioinformatics, and machine learning with applications in structural biology. She holds a Ph.D. from the University of Missouri-Columbia (2016) and previously served as an Assistant Professor at Auburn University (2017–2021). Her work develops AI-driven methods for biomolecular modeling, including RNA and protein structure prediction, quality assessment, and refinement. Notable contributions include software tools like lociPARSE, RNAbpFlow, and EquiPNAS. She has received prestigious awards such as the NSF CAREER Award (2020) and NIH MIRA Award (2020). Teaching includes courses on machine learning and AI in molecular modeling. Her lab collaborates on NIH-funded projects (R35GM138146) and NSF initiatives (DBI2208679). Recent work emphasizes equivariant neural networks and transformer-based models for biomolecular analysis.

Hong Liمشاهده پروفایل

دانشیار

• Food Science
• Food Processing Technology
• Food Safety
• +۳ مورد دیگر

Hong Li is an Associate Professor at the University of California, Davis, specializing in interdisciplinary research at the intersection of food science, engineering, and biotechnology. Their work focuses on innovative food processing technologies, including infrared drying systems, catalytic thermal treatments, and microbial inactivation methods. Li's research also addresses sustainable production of alternative proteins, nutraceuticals, and optimization of agricultural by-products. Key research interests include food safety, energy-efficient processing, and the application of advanced technologies like cold plasma and mathematical modeling in food systems. Li has contributed to advancements in nut drying, fish meat quality, and fungal protein production. Their work emphasizes practical solutions for industrial applications while maintaining nutritional and sensory quality. Publications highlight Li's expertise in food physics, interdisciplinary collaboration, and bridging theoretical models with real-world processing challenges. Despite extensive contributions, no scientific awards or named grants are explicitly mentioned in the text.