Find Academic Supervisors

Cecilia ClementiView profile

Professor

• Computational Chemistry
• Biophysics
• Molecular Dynamics
• +11 more

Cecilia Clementi is a Professor of Chemistry at Rice University and an Einstein Visiting Professor at Freie Universität Berlin. Her work bridges computational chemistry, biophysics, and machine learning to advance molecular dynamics and protein folding research. PhD in Physics, International School for Advanced Studies (SISSA), Trieste, Italy Bachelor and Master in Physics, University of Florence and SISSA, Italy Clementi specializes in developing data-driven methods for molecular simulations, including coarse-grained modeling and nonlinear dimensionality reduction. Her research focuses on understanding protein folding mechanisms and free energy landscapes through integrative computational approaches. Notable contributions include applying machine learning to molecular dynamics force fields, creating augmented Markov models for experimental-data integration, and pioneering diffusion-map-based techniques for reaction coordinate identification. Her work has transformed how researchers model complex biomolecular processes. NSF-CAREER award (2004-2009) Welch Foundation Norman Hackerman Award (2009) Hamill Innovation Award (2007, 2014) Einstein Visiting Fellowship (2016-2019) NSF-funded Molecular Sciences Software Institute (MolSSI) co-Director (2016-present) Clementi has secured significant grants, including the NSF-CAREER award and Welch Foundation funding. Her editorial roles include associate editorship at the Journal of Chemical Theory and Computation , and she actively serves on scientific advisory boards like IPAM. Her publications highlight interdisciplinary collaborations merging chemistry, physics, and computational science.

• Biochemistry
• Genetics
• Molecular Biology
• +5 more

Gitte Hoffmann Bruun is a researcher at the Department of Biochemistry and Molecular Biology, University of Southern Denmark, specializing in translational biology. Her work bridges genetic research and molecular medicine, focusing on RNA splicing mechanisms and genetic susceptibility to diseases. Research Interests: Biochemistry, Genetics, Molecular Biology, RNA Splicing, Exome Sequencing, and Genetic Susceptibility. Bruun's research leverages advanced bioinformatics and molecular biology techniques, such as deep learning models for predicting protein-RNA binding effects and exome sequencing to identify disease-related genes. Her work has applications in developing allele-specific therapies and antisense oligonucleotide-based treatments. Her publications and patents highlight a strong emphasis on splice switching oligonucleotides, pseudoexon targeting, and Mycobacterial infection genetics. These contributions underscore her role in translational research linking computational biology to clinical applications.

• Cell Penetrating Peptides (CPPs)
• Bioportides
• Reproductive Health
• +5 more

Sarah Jones is a Reader in Pharmacology at the University of Wolverhampton's Molecular Pharmacology Research Group, Faculty of Science and Engineering. Her work spans 20+ years of pioneering research in Cell Penetrating Peptides (CPPs) and bioportides, focusing on intracellular target modulation for therapeutic development. Developed bioportides as tools for targeting protein-protein interactions in sperm physiology and Parkinson's disease Co-inventor of STOPSPERM bioportide technology for male contraception Collaborated on European patents for glioma-targeted drug delivery vectors Her research has been highlighted in BBC Horizon and Channel 4 documentaries. Current projects include optimizing bioportides for clinical applications with grants from BBSRC, Wellcome Trust, and Male Contraceptive Initiative. Scientific Awards Fellow of the Royal Society of Biology (2017) Professional Leadership Organized 3 international conferences on CPPs and peptide therapeutics Member of European Peptide Society's Scientific Affairs Committee Sarah's teaching includes module leadership in 'Principles of Drug Action' and 'Advanced Therapeutics' at the School of Pharmacy, mentoring over 60 undergraduate and Masters students.

• Computational Biochemistry
• Protein Modeling
• Molecular Dynamics
• +6 more

Peter C. Anderson is an Associate Professor in the Chemistry Department within the School of Science, Technology, Engineering & Mathematics (School of STEM) at the University of Washington Bothell. He joined the Physical Sciences Division in 2013 and specializes in computational biochemistry and molecular modeling, with research spanning drug discovery, protein dynamics, and computational biology. Dr. Anderson's educational background includes: Ph.D. in Pharmaceutical Sciences from the University of Wisconsin-Madison (2007) B.S. in Chemistry from Pacific Lutheran University (2001) B.A. in French from Pacific Lutheran University (2001) Dr. Anderson's research focuses on computational approaches to understanding protein structure and function. His work spans several key areas including high-throughput virtual screening for drug discovery against tropical diseases, molecular dynamics simulations of disease-causing mutations, and computational design of protein biosensors. His research integrates computational chemistry with biomedical applications, particularly in identifying novel inhibitors of pathogens and understanding the molecular basis of disease. Before joining UW Bothell, Dr. Anderson completed postdoctoral research at the University of Washington Seattle (2007-2009) and Sandia National Laboratories in Livermore, CA (2010-2013). Dr. Anderson leads the Anderson Research Group, which focuses on two main areas: discovering small molecule inhibitors of lethal pathogens using polypharmacology approaches that target multiple enzymes in pathogens, and predicting the effects of human disease-causing mutations through molecular simulations. His work on tuberculosis drug discovery and understanding mutation effects in diseases like cancer and neurological disorders demonstrates the translational potential of computational approaches in biomedical research.

Yannick BombleView profile

Researcher

• Bioenergy
• Biomass deconstruction
• Thermophilic bacteria
• +7 more

Yannick Bomble serves as a Group Research Manager III and Senior Research Scientist at the Biosciences Center of the National Renewable Energy Laboratory (NREL), where he has been conducting research since 2008. His work focuses on advancing bioenergy technologies through microbial engineering and computational approaches to biomass conversion. Dr. Bomble's primary research interests include the development of thermophilic bacteria for biomass deconstruction, metabolic modeling and pathway engineering for biofuel production, and the characterization and engineering of biomass-degrading enzymes. His expertise spans quantum chemical calculations, molecular dynamics simulations, protein characterization, and computational modeling, with applications in improving cell-free biocatalysis systems and metabolic engineering of microorganisms. His recent publications demonstrate a strong trend toward integrating machine learning with traditional biochemical approaches to understand enzyme specificity and improve biocatalyst performance. His work frequently addresses challenges in thermostability, cofactor engineering, and pathway optimization for sustainable production of fuels and chemicals from biomass. Dr. Bomble was honored with the NREL Distinguished Member of Research Staff award in 2021, recognizing his exceptional scientific contributions and leadership in advancing the laboratory's bioenergy research mission. As a research manager, Dr. Bomble leads projects focused on developing advanced biocatalysts and engineering microbial systems for biomass conversion. His laboratory work integrates experimental biochemistry with computational modeling to address fundamental challenges in bioenergy production.

Julian OwenView profile

Senior Lecturer

• Sports Injury Epidemiology
• Concussion/Brain Trauma
• Rugby Union
• +3 more

Dr. Julian Owen is a Senior Lecturer at the School of Psychology and Sports Science , Bangor University. With a background in applied physiology and 8 years of professional sports science experience in football, rugby union, and hockey, he leads injury epidemiology research with a focus on rugby player welfare . As Director of the Rugby Information Exchange and Sports Injuries Lead for the Welsh Institute of Performance Science , he bridges cutting-edge research with practical applications. Education : BSc in Applied Biochemistry (1995), MSc in Exercise Physiology (2008), PhD in Exercise Physiology (2015) Current Roles : Supervises PhD/MSc projects on concussion, injury prevention in female rugby, and athlete monitoring His research spans sports injury epidemiology , brain trauma , and physiological determinants of performance . Recent work leverages AI to predict injury risk and develops tools for concussion assessment. Funded by World Rugby , Welsh Rugby Union , and Welsh Rowing , his 2024-2025 publications include 12 outputs on injury patterns, prevention strategies, and gender-specific rugby trauma. Scientific Contributions : Editorial Board: International Journal of Strength and Conditioning Review Editor: Frontiers in Sport and Active Living Peer reviewer for International Journal of Sports Medicine , Journal of Sport Sciences , and others Julian mentors 12+ students, including Subhan Nazir (subconcussion brain chemistry) and Eloise Kirby (female youth injury surveillance). His work aligns with UN Sustainable Development Goals through community-focused injury prevention and athlete health equity .

Jason T. MaynesView profile

Clinical Professor

• Biochemistry
• Molecular Biology
• Pharmacology
• +4 more

Jason T. Maynes is a Clinical Professor in the Department of Biochemistry at the University of Toronto. His research integrates clinical training in pediatrics and anesthesiology with biophysical methods to address critical questions in mitochondrial dynamics, anesthetic safety, and cardiac function. Laboratory focuses on anaesthetic off-target effects and mitochondrial dysfunction in pediatric patients Develops high-content imaging techniques for disease modeling Investigates molecular mechanisms of cardiac contractility Lab methodologies include structural biology (X-ray crystallography, NMR), stem cell models, robotics, and machine learning-based image analysis. He teaches core courses in medical biochemistry and collaborates with clinicians, epidemiologists, and engineers across 40+ partnerships.

Jarek BrykView profile

Teaching Professor

• Evolutionary genetics
• Functional and mechanistic basis of adaptive change
• Synthetic biology
• +3 more

Jarek Bryk is a Teaching Professor at the Department of Physical and Life Sciences, School of Applied Sciences , University of Huddersfield . He is a member of the Evolutionary Genomics Research Centre and associate member of the Cellular and Molecular Models of Disease Centre . His career spans evolutionary genetics, synthetic biology, and science education. Education: MSc in Molecular Biology, University of Warsaw PhD in Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology Research interests focus on evolutionary genetics , mechanistic basis of adaptive change , and synthetic biology education . He investigates genetic mechanisms of environmental adaptation and develops teaching tools for molecular biology. Article trends show expertise in ancient DNA , genomic variants , and synthetic biology , with applications in education , oncology , and population genomics . Scientific awards : Bronze Medal, International Genetically Engineered Machines competition Advising includes mentoring undergraduate teams in synthetic biology. He has worked on EU-funded and Wellcome Trust projects, emphasizing practical education and student-driven research .

Christopher H. HendonView profile

Associate Professor

• Computational Chemistry
• Materials Theory
• Edible Chemical Physics
• +8 more

Christopher H. Hendon is an Associate Professor in the Department of Chemistry and Biochemistry at the University of Oregon, part of the College of Arts and Sciences. His research group, HMS Oregon, is based in the Lewis Integrative Sciences Building and operates at the intersection of computational chemistry, materials science, and food physics. B.Sc. (Adv. Hons.), Monash University (2011) Ph.D., University of Bath (2015) Postdoctoral Research, Massachusetts Institute of Technology (2017) Dr. Hendon’s research spans Materials Theory and Edible Chemical Physics . He employs quantum chemical simulations to study charge conduction, defect formation, and chemical kinetics in hybrid organic-inorganic materials, particularly metal-organic frameworks (MOFs). His group investigates redox-active MOFs, amorphization, and electronic band alignments for applications in catalysis and energy conversion. A hallmark of his work is the parallel focus on coffee science , where his lab uses laser diffraction, electrochemistry, and modeling to understand extraction kinetics, grinder fracture mechanics, and flavor thermodynamics. The publication trends reveal a strong interdisciplinary focus, blending computational chemistry with real-world applications in food and beverage science. His recent works emphasize reproducibility in brewing, particle size effects, AI in coffee, and sustainable practices, reflecting a unique integration of high-performance computation with everyday phenomena. Dr. Hendon has no listed scientific awards in the provided texts, but his influence is evident through collaborations with World Barista Champions and industry professionals. He advises a diverse team of graduate and undergraduate researchers and is actively involved in mentoring. His group collaborates widely with experimentalists in the U.S. and internationally, including through the COHOP collaboration. While no specific grants are listed, his sustained research output and lab operations suggest active funding. The group welcomes undergraduate researchers and graduate students through the UO Chemistry Department. The lab is developing into a multidisciplinary coffee research hub, aiming to integrate chemistry, physics, biology, psychology, and mathematics. This vision is supported by an extensive coffee literature repository and ongoing projects on extraction modeling, sensory science, and material sustainability.

• Biomedical Data Sciences
• Computational Systems Biology
• Quantitative Biosciences
• +3 more

Kevin Janes is the John Marshall Money Professor of Biomedical Engineering and Professor of Biochemistry & Molecular Genetics at the University of Virginia. He holds dual appointments in Engineering and Medicine, co-leading NIH-funded initiatives in Cancer Systems Biology and Biomolecular Data Science. His research integrates engineering principles with molecular biology to address cancer and infectious disease through systems-level approaches. Education: B.S./B.A. Biomedical Engineering & Spanish, Johns Hopkins University (1999) Ph.D. Bioengineering, MIT (2005) Postdoctoral Fellowship, Harvard Medical School (2005–2008) Research Interests: Focuses on Biomedical Data Sciences , Computational Systems Biology , and Quantitative Biosciences . Develops models to analyze tumor progression, viral infections, and cellular stress responses. Recent work includes oncogenic stress adaptation in cancer cells, patient-specific breast cancer organoid models, and viral cardiomyopathy mechanisms. Awards: Pew Scholar (2010) David & Lucile Packard Fellow (2011) Kavli Fellow (2013) NIH Director’s New Innovator Award (2012) AIMBE Fellow (2020) Grants & Leadership: Co-Director of the NIH T32 SBDS Training Program and the U54 Cancer Systems Biology Center (SASCO). Chairs study sections for the American Cancer Society and NCI. Editorial roles at Science Signaling and Cell Systems . Labs & Teams: Janes Lab specializes in systems approaches to disease. Collaborates with clinicians and engineers to translate models into precision medicine strategies. Active in training programs fostering interdisciplinary biomedical scientists.

• Nutritional Ecology
• Evolutionary Biology
• Entomology
• +11 more

Dr. Juliano Morimoto is a Senior Lecturer at the School of Natural and Computing Sciences , University of Aberdeen. With a DPhil in Zoology from the University of Oxford and postdoctoral experience in Sydney and Macquarie University, he specializes in Nutritional Ecology , Evolutionary Biology , and Machine Learning applications to animal biology. His research spans theoretical frameworks (e.g., Nutrigonometry), empirical studies on Drosophila, and applied work in insect-based food security solutions. Education : BSc Biological Sciences (Federal University of Paraná, Brazil), DPhil Zoology (University of Oxford) Research Streams : Theoretical nutrition models, empirical evolutionary ecology with Drosophila, and applied insect conservation/policy His publications reveal interdisciplinary work connecting nutritional geometry with insect behavior , genome-scale analysis , and ecological modeling . Recent work includes membrane permeability evolution, proteome-lifespan relationships, and social isolation effects in primates. He has received awards like the 2024 Best Undergraduate Supervisor and 2022 Riemann Fellowship for differential geometry applications to nutrition. Grants include a £980,000 BBSRC grant on dietary optimization for reproduction, multiple NERC/BBSRC awards, and international partnerships with Sweden and Brazil. He actively leads outreach in Brazil via projects funded by CNPq, including the Geometria Poetica ebook initiative for low-income students.

Jianhan ChenView profile

Professor

• Computational Biophysics
• Molecular Modeling
• Biomolecular Simulation
• +12 more

Jianhan Chen is a Professor in the Department of Chemistry at the University of Massachusetts Amherst . He is affiliated with the Graduate Program in Molecular & Cellular Biology and the Institute for Applied Life Sciences (IALS), where he leads the Chen Research Group focused on computational biophysics and biomaterials. Ph.D., University of California, Irvine (2002) B.S., University of Science and Technology of China (1998) His research centers on theoretical and computational methods for studying biophysical and biomedical systems. Key areas include intrinsically disordered proteins , biomolecular condensates , ion channel gating , and multiscale modeling of proteins and RNAs. He has developed advanced algorithms for conformational sampling, implicit solvent models, and GPU-accelerated simulations, with tools such as CHARMM/OpenMM , MMTSB , and HyRes widely distributed. The recent publications (2021–2025) reflect a strong focus on ion channel dynamics (BK, TRP, HCN, TMEM16), phase separation , and machine learning applications in protein function prediction. His work integrates computational modeling with experimental collaboration to study neurodegenerative diseases, drug delivery, and single-molecule dynamics. He has no listed scientific awards in the provided materials. Jianhan Chen actively mentors students and postdoctoral researchers. His lab maintains significant computational infrastructure, including a dedicated GPU cluster ( Pikes ) and access to institutional and national high-performance computing resources. He is involved in training the next generation of computational scientists and encourages applications from students with backgrounds in biochemistry, biophysics, and programming. The Chen Research Group operates within the Life Science Laboratories and is part of broader interdisciplinary initiatives at UMass Amherst, including Models to Medicine and Center for Bioactive Delivery .

Patricia IllingView profile

Research Fellow

• Immunopeptidomics
• Antigen Processing and Presentation
• Human Leukocyte Antigen (HLA)
• +7 more

Dr. Patricia Illing is a Senior Research Fellow in the Department of Biochemistry and Molecular Biology at Monash University’s Faculty of Medicine, Nursing and Health Sciences. She is actively leading research in immunopeptidomics, antigen presentation, and HLA-associated diseases, with a focus on drug hypersensitivity and viral immunity. Her work integrates mass spectrometry with functional immunology to understand how genetic and environmental factors influence immune responses. PhD, University of Melbourne (2014) Supervisor: Prof James McCluskey Current Lab: Prof Tony Purcell, Monash University Her research centers on the role of Human Leukocyte Antigen (HLA) in disease, particularly how small molecules and infections alter peptide presentation to T cells. Key areas include drug-induced hypersensitivity (e.g., abacavir), influenza immunity, and type 1 diabetes. She employs cutting-edge techniques in proteomics and bioinformatics to map the immunopeptidome and develop tools for data analysis. Recent publications (2023–2024) highlight her leadership in immunopeptidomics, including studies on SARS-CoV-2 antigen presentation, conserved influenza epitopes, and the development of MHCpLogics — a machine learning tool for immunopeptidome analysis. Her work spans virology, autoimmunity, and computational biology, with strong translational potential for vaccine design and personalized medicine. Dr. Illing is a Chief Investigator on multiple active grants, including NHMRC and mRNA Victoria-funded projects focused on influenza immunity and RNA purification platforms. She is accepting PhD students through Monash’s Supervisor Connect program and continues to publish in high-impact journals such as Nature Communications , PNAS , and Molecular & Cellular Proteomics . Her research contributes to UN Sustainable Development Goal 3: Good Health and Well-being. Collaborators include Professors Purcell, Rossjohn, Kedzierska, and Mifsud, among others. She has over 47 research outputs, including articles, reviews, and book chapters, with significant citation impact and media attention. Her work has been featured in news outlets, blogs, and social media platforms, reflecting broad scientific and public interest.

François MajorView profile

Professor

• Bioinformatics
• RNA Structure and Function
• Computational Biology
• +3 more

François Major is a Full Professor at the Université de Montréal, holding positions in both the Faculty of Arts and Sciences (Department of Computer Science and Operations Research) and the Faculty of Medicine (Department of Biochemistry and Molecular Medicine). He leads research in bioinformatics, focusing on RNA structure and function, and is affiliated with the IRIC (Institut de Recherche en Immunologie et en Cancérologie) and LBIT (Laboratoire de Biologie Informatique et Théorique). His work integrates computational methods to study RNA's role in gene expression and disease, particularly cancer. Education: PhD in Computer Science (1990, Université de Montréal), postdoctoral training at NCBI under David Lipman. Joined Université de Montréal in 1994 and became an IRIC Principal Investigator in 2005. Research Interests: Bioinformatics tools for RNA structure prediction, RNA dynamics modeling, and applications in gene silencing mechanisms. His lab develops algorithms to analyze RNA motifs and predict functional interactions, with a focus on non-coding RNAs and their roles in molecular medicine. Grant Highlights: Computational analysis of RNA structure/function (CRSNG, 2020–2027) CRC-IRICoR Platform for RNA design (2023–2025) Genome Canada-funded multi-target RNA therapeutics (2016–2021) Students: Supervised over 30 graduate students since 2000, focusing on RNA bioinformatics, structural biology, and computational genomics. Awards: 2010 Prix Urgel-Archambault (Acfas) for contributions to bioinformatics and RNA research. Labs: Leads LBIT and collaborates with IRIC, focusing on RNA-based therapies and structural bioinformatics.

• Biomedical Informatics
• Reproductive Medicine
• Metabolic Research
• +3 more

Oliwia Witczak is an Associate Professor at the Faculty of Health Sciences, Oslo Metropolitan University , within the Department of Life Sciences and Health , specifically Biomedical Laboratory Sciences . Research Focus: Extracellular vesicles in skeletal muscle cell signaling Artificial intelligence applications in assisted reproduction Metabolic impacts of fatty acids and microbiome interactions Recent Publications highlight her work in: AI-driven sperm motility analysis (2023–2025) L-Carnitine's role in semen quality (2022–2024) Metabolic regulation in human myotubes (2025) Laboratory sustainability practices (2025) Scientific Career spans: PhD thesis on AKAP450 protein (2002) Continued leadership in Disease and Environmental Exposures research group