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Philipp HeretschView profile

Professor

• Natural Product Synthesis
• Organic Chemistry
• Terpene Synthesis
• +8 more

Prof. Dr. Philipp Heretsch is a Professor and Executive Director at the Institute of Organic Chemistry, Faculty of Natural Sciences, Leibniz University Hannover. He leads the Natural Product Synthesis research group and holds key roles in academic governance, including Deputy Coordinator for Exchange Programmes and representation on various examination and curriculum boards. Research Interests: His research focuses on the synthesis of complex natural products, particularly terpenes and alkaloids, using biosynthesis-inspired strategies. He develops novel carbon–carbon bond manipulation techniques and rearrangement cascades. A significant emphasis is placed on the biological activity of synthesized compounds. He also pioneers the development of continuous flow reactor systems for the selective transformation of sensitive and short-lived chemical species. Publication Trends: His recent publications (2020–2025) demonstrate a strong focus on biogenesis-inspired total synthesis of highly complex natural products (e.g., canataxpropellane, swinhoeisterol), the application of radical-polar crossover and rearrangement strategies, and the innovative use of flow chemistry for scalable and efficient synthesis of both natural products and functional molecules like odorants and ferrocenyl compounds. Scientific Awards: ADUC Prize of the GDCh (2018) DECHEMA Young Scientist Prize for Natural Product Research (2020) ORCHEM Prize for Young Scientists of the Liebig Association for Organic Chemistry of the GDCh Advising and Grants: While specific students are not listed, he leads an active research group. His work is supported by significant external funding, including an ERC Consolidator Grant for the project "RadCrossSyn" and support from the DFG Heisenberg Program, which facilitated his move to Leibniz University Hannover in 2021. Labs and Teams: He heads the Natural Product Synthesis research group at the Institute of Organic Chemistry, Leibniz University Hannover. His research group, often referred to as the "Heretsch group," is dedicated to developing novel synthetic methodologies and applying them to the synthesis of biologically relevant natural products.

Michael WilczekView profile

Teaching Professor

• Virology
• Bioinformatics
• Molecular Epidemiology
• +3 more

Dr. Michael Wilczek is Assistant Teaching Professor in Biotechnology/Bioinformatics at Northeastern University's Roux Institute. His research bridges virology, bioinformatics, and educational innovation, with particular focus on JC polyomavirus pathogenesis and graduate education reform. Key research domains include: Molecular mechanisms of viral infections Bioinformatic analysis of host-pathogen interactions Observational health and real-world evidence Evidence-based graduate education His publication record demonstrates: Expertise in JC polyomavirus cellular pathways Innovative applications of machine learning in virology High-throughput drug screening methodologies Health disparities research in aging populations

Sunitha NagrathView profile

Professor

• Bio-MEMS and Microfluidics
• Nanotechnology
• Circulating Tumor Cells
• +3 more

Sunitha Nagrath is a Professor of Chemical Engineering at the University of Michigan, leading the Nagrath Lab. Her research focuses on developing microfluidic and nanotechnology-based tools to isolate and analyze circulating tumor cells (CTCs) and extracellular vesicles (EVs) for cancer diagnostics and personalized medicine. She holds an AIMBE Fellowship and has pioneered technologies like the Graphene Oxide Chip and Microfluidic Labyrinth. Education PhD in Mechanical Engineering, Rensselaer Polytechnic Institute (2004) MS in Nuclear Engineering, Rensselaer Polytechnic Institute (2000) B.Tech in Chemical Engineering, Sri Venkateswara University (1992) Research Interests Her lab integrates engineering, biology, and clinical expertise to study CTCs' role in metastasis, develop high-throughput isolation methods, and leverage exosomes as liquid biopsy biomarkers. Key projects include: CTC-based monitoring of therapy response in lung and pancreatic cancers Microfluidic devices for simultaneous CTC and exosome analysis Functional studies of CTC-derived organoids for drug sensitivity testing Notable Achievements AIMBE Fellow (Junior Faculty, Harvard Medical School/MGH, 2008-2010) Over 150 peer-reviewed publications and patents on CTC/exosome technologies Recipient of the 2021-22 Chemical Engineering Staff Incentive Award (via lab member Mina Zeinali) Labs & Collaborations The Nagrath Lab collaborates with clinicians and engineers to translate technologies like the OncoBean Chip and EVOD chip into clinical settings. Current work emphasizes real-time CTC monitoring and exosome-based immuno-oncology strategies.

• Statistical Methods in Biomedical Research
• Biomarker Analysis
• Clinical Trial Design
• +7 more

Todd A. Alonzo is a Professor of Research in the Department of Preventive Medicine at the University of Southern California . As Group Statistician for the Children's Oncology Group , he focuses on statistical methods for biomarker analysis, medical diagnostic testing, and clinical trial design in pediatric acute myeloid leukemia (AML). Education: B.S. in Statistics, California State Polytechnic University (1994) MS and PhD in Biostatistics, University of Washington (1997, 2000) Research Interests include: Development of statistical frameworks for diagnostic accuracy Genomic and proteomic profiling in AML Pharmacogenomic score systems for chemotherapy response Non-inferiority trial design in low-event-rate settings Health disparities in pediatric oncology Scientific Awards : Fellow, American Statistical Association (2018) Outstanding Teacher Award, International Society for Magnetic Resonance in Medicine (2017) NIH Predoctoral Cardiovascular Biostatistics Training Grant (1995) ENAR Biometrics Society Distinguished Student Paper Award (1999) WNAR Biometrics Society Best Student Oral Presentation (1999) Leadership & Service includes editorial board memberships (Biometrics, Pediatric Blood & Cancer, Biometrical Journal), reviewer for 30+ scientific journals, and roles on multiple Data Safety and Monitoring Boards. He served as President of the International Biometric Society Western Northern America Region (WNAR) in 2009.

Colin SempleView profile

Professor

• Cancer genomics
• Structural mutations
• Molecular evolution
• +5 more

Professor Colin Semple is a leading researcher at the University of Edinburgh's Institute of Genetics and Cancer (IGC), where he serves as Group Leader and Head of Bioinformatics. His work is conducted within the MRC Human Genetics Unit, focusing on computational genomics and the analysis of structural mutations in both germline and cancer contexts. Professor Semple's research investigates the origins and impacts of structural mutations in the human genome, with particular emphasis on how these alterations affect gene function in developmental contexts and drive cancer progression. His group studies complex structural rearrangements in challenging cancer types including ovarian cancer, glioblastoma, and mesothelioma, where tumor genomes undergo dramatic reorganization. The research is guided by four key questions: What are the origins of structural mutations? How do they impact gene function? How does structural complexity drive disease progression? How do diverse mutational constellations combine to create adaptations and vulnerabilities? Analysis of Professor Semple's publications reveals a consistent focus on structural variation in cancer genomics, with particular attention to ovarian cancer mechanisms, lesion segregation in tumor evolution, and the functional consequences of genomic rearrangements. His work frequently employs whole genome sequencing approaches to uncover previously hidden layers of genomic variation that affect more of the genome than traditional short variants. Professor Semple leads a substantial research team including bioinformaticians and PhD students, and oversees the Bioinformatics Analysis Core which provides collaborative expertise to over 500 researchers at the IGC. His group maintains strong collaborations with both local researchers at the University of Edinburgh and international consortia, working closely with clinicians to translate genomic findings into potential diagnostic and therapeutic approaches. The Semple Lab is funded by major organizations including the Medical Research Council (MRC), Cancer Research UK (CRUK), and the Chief Scientist Office (CSO).

Ralph HückelhovenView profile

Professor

• Plant Pathology
• Molecular Biology
• Plant Immunity
• +3 more

Prof. Ralph Hückelhoven is a Professor of Phytopathology at the Technical University of Munich (TUM), affiliated with the TUM School of Life Sciences. His research focuses on the molecular and biological mechanisms underlying plant diseases, particularly plant immunity, pathogen exploitation of signal transduction, and host-pathogen interactions. He leads the Chair of Phytopathology at TUM since 2006, following academic roles at universities of Kiel and Hohenheim. Education: PhD (1999) and habilitation in molecular phytopathology (2005) from Justus Liebig University Giessen, after a biology degree at RWTH Aachen University. Awards: Julius Kühn Prize (2004) and leadership of a DFG Junior Research Group (2002-2006). His research spans plant immunity at cellular and molecular levels, including studies on receptor kinases (e.g., MIK2, LORE), RAC GTPases (e.g., RACB), and metabolomics-driven insights into pathogen resistance. He has published over 100 peer-reviewed articles, examining topics like fungal toxins, volatile signaling, and crop disease management. Key publications include work on Arabidopsis immune receptors, barley powdery mildew susceptibility factors, and Fusarium head blight resistance. Research integrates genetics, proteomics, and metabolomics to advance disease-resistant crop development. His lab investigates host-pathogen interactions across scales—from molecular signaling to field epidemiology—contributing to sustainable agricultural strategies against plant pathogens.

• 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.

William UnsworthView profile

Senior Lecturer

• Organic Chemistry
• Synthetic Chemistry
• Catalysis
• +3 more

Dr. William Unsworth is a Senior Lecturer in the Department of Chemistry at the University of York. He holds a Leverhulme Trust Early Career Fellowship and the inaugural Eleanor Dodson Fellowship. His research focuses on developing new methods for synthesizing functionalized macrocycles, spirocycles, heterocycles, and natural products, with key interests in ring expansion strategies (e.g., SuRE methodology), photochemistry, catalysis, and spirocyclization reactions. Education: Bachelor's and PhD in Chemistry from the University of Oxford (PhD under Prof. Jeremy Robertson, 2010) Postdoctoral Research Associate with Prof. Richard J.K. Taylor at the University of York (2010–2013) Research Interests: Macrocycle synthesis, medium-sized rings, cascade reactions, photochemical radical processes, and catalyst-driven scaffold diversity. His group’s work emphasizes practical applications in medicinal chemistry and drug discovery. Awards: Thieme Chemistry Journals Award (2020) RSC Hickinbottom Award (2018) European Lead Factory Chemical Library Creativity Award (2017) RSC/BMOS Young Investigator Award (2015) Grants and Projects: Leads initiatives like the ‘Macrocycles for Drug Discovery (MC4DD)’ project funded by the European Commission, and collaborates on projects involving biocatalysis and natural product synthesis. Labs/Teams: The Unsworth Research Group at the University of York includes collaborators like Prof. Richard Taylor and Prof. Gideon Grogan, focusing on interdisciplinary synthetic chemistry and sustainable methods.

Tamon StephenView profile

Professor

• Operations Research
• Combinatorial Optimization
• Algorithms
• +2 more

Tamon Stephen is a Professor in the Department of Mathematics at Simon Fraser University (SFU), part of the Faculty of Science. His research focuses on operations research, with an emphasis on combinatorial optimization, algorithms, discrete geometry, and computational biology. He holds a Ph.D. in Mathematics from the University of Michigan (2002). His work often bridges theoretical and computational aspects, addressing interdisciplinary applications. Stephen is affiliated with the Centre for Operations Research and Decision Sciences (CORDS) and has contributed to software tools for hypergraph transversals and colorful linear programming. He has taught courses such as Math 208W (Introduction to Operations Research) and has advised projects in metabolic network analysis and scheduling optimization. His office is located at the Surrey campus (SRYC 2886). Key research collaborations include studies on firefighter scheduling, nurse rostering, and metabolic pathway analysis. His methodologies often leverage algorithm design, polytope theory, and discrete mathematics. Stephen actively participates in academic service, organizing seminars and contributing to conferences such as the West Coast Optimization Meeting. His work emphasizes practical applications of theoretical results, with a focus on solving real-world optimization challenges.

Ignasi Sau VallsView profile

Researcher

• Graph Theory
• Parameterized Complexity
• Algorithmic Graph Theory
• +5 more

Ignasi Sau Valls is a Directeur de Recherche (DR2) at CNRS, affiliated with the LIRMM laboratory at Université de Montpellier, France. He is a member of the AlGCo team, focusing on algorithms for graphs and combinatorics. His academic background includes dual degrees in Mathematics and Telecommunications Engineering from UPC (Barcelona), a PhD in joint supervision between UPC and Projet Mascotte (Sophia Antipolis), and a postdoctoral position at the Technion (Israel). He has been with CNRS since 2010 and was promoted to his current role in October 2024. He also served as a Visiting Professor at UFC (Brazil) from 2016–2017. His research interests lie primarily in Graph Theory and Parameterized Complexity , with a focus on structural graph properties, kernelization, and algorithm design. He has made significant contributions to problems involving minor-closed graph classes, treewidth, and graph modification. His work bridges theoretical foundations with algorithmic applications, particularly in discrete optimization and network problems. The recent articles highlight a strong trend in parameterized algorithms, especially for graph modification, kernelization, and structural graph problems. Topics such as hitting minors, dynamic programming on tree decompositions, and edge contractions reflect a deep engagement with structural parameterizations and fixed-parameter tractability. His publications frequently appear in top-tier journals like SIAM Journal on Computing, Journal of Combinatorial Theory, and Algorithmica, as well as major conferences such as ICALP, SODA, and IPEC. Best paper award of Track C of ICALP'10 Best student paper award of WG'09 Ignasi Sau has been a principal investigator of the ANR JCJC project ELIT (ANR-20-CE48-0008-01), funded with 169k€ from 2021 to 2026. He serves as an editor for DMTCS and Information and Computation , and has held significant organizational roles, including PC member of numerous conferences (MFCS, WG, IPEC, COCOON) and as co-chair and main organizer of WG 2019, ICGT 2022, and JCALM 2023. He has delivered invited courses at international schools in France, Argentina, and Brazil. He is actively involved in the research community through editorial duties, conference organization, and collaborative research. His lab affiliation is the AlGCo team at LIRMM, a leading group in algorithmic graph theory and combinatorics.

Mukul S. BansalView profile

Associate Professor

• Computational Biology
• Bioinformatics
• Computational Phylogenetics
• +3 more

Mukul S. Bansal is an Associate Professor of Computer Science & Engineering at the University of Connecticut's School of Computing. His research focuses on computational biology and bioinformatics, particularly computational phylogenetics, comparative genomics, and algorithmic optimization. He leads the Computational Biology Lab, developing computational methods and software tools to address fundamental biological questions. His work integrates theoretical computer science with genomic data analysis. He maintains active participation in computational biology communities, including program committee roles at conferences like ISMB/ECCB, RECOMB, and ACM-BCB. His group offers PhD and undergraduate research opportunities in areas such as phylogenetic analysis, horizontal gene transfer, and genomic algorithm development. Contact: mukul.bansal@uconn.edu, ITE Building Room 359. Research interests include phylogenetic tree reconciliation, domain-gene-species evolution models, and algorithmic solutions for large-scale genomic data. He has developed tools like TreeFix-TP, TNet, and virDTL, contributing to viral evolution and cancer genomics studies. His lab emphasizes interdisciplinary approaches bridging computer science and biology.

Chad J BrennerView profile

Associate Professor

• Head and Neck Cancer
• HPV-Driven Oncogenesis
• Liquid Biopsy Technologies
• +5 more

Dr. Chad J. Brenner is an Associate Professor in the Department of Otolaryngology-Head and Neck Surgery and Pharmacology at the University of Michigan Medical School. He also directs the U-M Program in Cellular and Molecular Biology, the Otolaryngology Clinical Laboratory (CLIA), and the Head & Neck Oncology Program. His research focuses on developing liquid biopsy tools for cancer detection and precision therapy, particularly in HPV-driven head and neck cancers. Key roles include membership in the Rogel Cancer Center, Kresge Hearing Research Institute, and Center for Computational Medicine & Bioinformatics. Education: B.S. in Biomedical Engineering, M.S. in Bioelectrical Engineering, and Ph.D. in Cellular and Molecular Biology from the University of Michigan, with doctoral work on prostate cancer mechanisms. Research Interests: HPV integration and cancer heterogeneity Urine- and blood-based liquid biopsies for real-time cancer monitoring Combination immunotherapy strategies for improving checkpoint inhibitor responses Genetic engineering to identify cancer vulnerabilities Clinical trial innovation for adaptive therapies Recent Work Highlights: Development of the MyHPVscore blood test for HPV-related head and neck cancer detection, and exploration of tumor-immune interactions through PD-L1 and T-cell profiling. Ongoing projects include PET-guided radiotherapy optimization and multi-omics analyses of tumor heterogeneity. Labs & Teams: Leads the Michigan Otolaryngology and Translational Oncology (MiOTO) lab and collaborates with interdisciplinary teams across computational medicine, immunology, and clinical oncology.

• Organic Synthesis
• Biosynthesis of Natural Products
• Total Synthesis
• +3 more

Chi Ting is an Assistant Professor of Chemistry at Brandeis University , focusing on organic synthesis and biosynthesis of natural products. Their work bridges chemical synthesis and biosynthetic pathway exploration to advance therapeutic discovery. Education : Ph.D. from University of California, Berkeley; B.S. from University of Illinois at Urbana-Champaign. Research Interests include: Concise total syntheses of complex natural products Development of novel organic reactions (e.g., chemoselective peptide functionalization) Investigation of biosynthetic mechanisms via genome mining Exploration of SAM-dependent enzymes and domain-of-unknown-function (DUF692) pathways Article Trends emphasize total synthesis (e.g., podophyllotoxin, hyperforin, RiPPs) and biosynthetic studies, with keywords spanning organic methodology, enzymatic transformations, and medicinal chemistry. Scientific Awards : Brandeis Career Hero 2022 NSF CAREER (2024-2029) Thieme Chemistry Award 2024 Grants include the NSF CAREER award for synthetic and biosynthetic research. Their lab (Edison-Lecks Science Building, Room 322) investigates chemical and enzymatic strategies for accessing therapeutic natural products.

Cheryl WalkerView profile

Professor

• Epigenomics
• Cancer Biology
• Molecular Genetics
• +3 more

Cheryl Walker, Ph.D., is a Professor in the Departments of Molecular and Cellular Biology, Medicine, and Molecular and Human Genetics at Baylor College of Medicine. She serves as Director of the Center for Precision Environmental Health and Co-Leader of the Chromatin Biology Program at the Dan L Duncan Comprehensive Cancer Center. Her research focuses on gene-environment interactions, epigenomics, and the molecular mechanisms underlying diseases such as cancer, fibroids, and non-alcoholic fatty liver disease (NAFLD). Key areas include the role of chromatin remodelers like SETD2 in genomic stability and their dual functions in cytoskeletal dynamics. She has pioneered studies on how early-life environmental exposures, such as endocrine-disrupting chemicals (EDCs), reprogram the epigenome to increase disease susceptibility later in life. Dr. Walker’s work is funded by NIH and DOD grants, including leadership of the TaRGET II Consortium for environmental epigenomics. Her lab employs cutting-edge technologies like ChIP-seq and RNA-seq to study epigenetic reprogramming. Notable contributions include discoveries linking SETD2 methylation to microtubule stability and genomic integrity, and identifying epigenetic signatures of environmental exposures in health disparities research. Education: Ph.D. in Molecular Biology Affiliations: Baylor College of Medicine, Gulf Coast Center for Precision Environmental Health Her awards include election to the National Academy of Medicine and fellowships in the American Association for the Advancement of Science (AAAS) and American Thoracic Society (ATS). The lab actively collaborates on translational projects, including biomarker development and disaster-related health studies following events like Hurricane Harvey. Key Research Themes: Epigenetic drivers of cancer and fibrosis Environmental epigenomics and disease risk Chromatin-cytoskeleton cross-talk in disease

Ben RaphaelView profile

Professor

• Bioinformatics
• Computational Biology
• Cancer Genomics
• +6 more

Ben Raphael is a Professor in the Department of Computer Science at Princeton University, with affiliations at the Lewis-Sigler Institute for Integrative Genomics, Omenn-Darling Bioengineering Institute, and Center for Statistics and Machine Learning. He is also an Affiliate Faculty member at the Rutgers Cancer Institute of New Jersey, Irving Institute for Cancer Dynamics at Columbia University, and New York Genome Center. His research focuses on computational methods for analyzing large-scale biological data, emphasizing cancer evolution, network/pathway analysis, and structural variation in genomes. Research Trends: His recent work spans cancer lineage trees, spatial transcriptomics, optimal transport for developmental models, and network analysis of mutations. Articles highlight applications in prostate cancer, pancreatic cancer, and single-cell genomics. Scientific Awards: 2024 ACM Fellow 2023 RECOMB Test of Time Award 2022 RECOMB Test of Time Runner-Up 2021 ISCB Innovator Award 2021 RECOMB Best Paper Runner-Up 2020 ISCB Fellow 2020 AACR Team Science Award 2011 NSF CAREER Award 2013 RECOMB Best Paper 2010-2012 Sloan Research Fellowship Advising: He has mentored numerous Ph.D. students and postdoctoral fellows, many of whom have transitioned to academic and industry roles. Current advisees include Uthsav Chitra, Gillian Chu, and Alexander Strzalkowski. Labs & Teams: Raphael leads the Raphael Lab at Princeton, developing tools like HotNet2, CHISEL, and HATCHet for cancer genomics and network analysis.