Rebecca Goss is a Professor at the University of St Andrews School of Chemistry. Her research centers on natural product discovery, biosynthesis, and engineering, with emphasis on marine antibiotics, halogenase enzymes, and metabolomic approaches. She investigates biosynthetic gene clusters for compounds like marinomycin, develops synthetic biology tools for natural product diversification, and explores cyanobacterial metabolomics under viral stress. Her lab employs heterologous expression and computational methods to advance antibiotic discovery. Recent work includes AI-driven drug discovery frameworks, sustainable cross-coupling methodologies, and pandemic preparedness strategies. She leads interdisciplinary collaborations in metabolomics and bioinformatics.
Kevin Moeller is a Professor of Chemistry at Washington University in St. Louis, affiliated with the Department of Chemistry within the Arts & Sciences School. He holds a PhD and BA from the University of California, Santa Barbara. His research focuses on synthetic electrochemistry and microelectrode array technologies, emphasizing sustainable oxidation methods and real-time molecular interaction analysis. Education: PhD in Chemistry, University of California, Santa Barbara BA in Chemistry, University of California, Santa Barbara Research Interests: Development of novel electrochemical synthetic methods (e.g., solar-driven oxidations, radical cation chemistry) Site-selective chemistry on microelectrode arrays for addressable molecular libraries Electrochemical impedance-based real-time binding studies with biological receptors Green chemistry approaches to oxidation reactions Key Contributions: Pioneered site-selective Diels-Alder and base-catalyzed reactions on high-density microelectrode arrays Advanced electrochemical tools for monitoring ligand-receptor interactions (e.g., integrin binding studies) Developed solar-powered electrochemical synthesis to reduce environmental impact Awards: 2021 Jaroslav Heyrovsky Prize (International Society of Electrochemistry) 2014 Washington University Excellence in Research Award Multiple teaching awards including 2001 Student Union Professor of the Year Laboratory & Collaborations: Leads the Moeller Research Group, collaborating on projects spanning organic synthesis, analytical electrochemistry, and biomedical applications. His lab actively engages in developing combinatorial electrochemistry techniques and miniaturized analytical platforms.
Kurt Mehlhorn is a renowned Adjunct Professor at the Max Planck Institute for Informatics and holds an honorary professorship at Saarland University. He leads the 'Algorithms and Complexity' department at MPI, where he has mentored numerous PhD students and postdocs, many of whom now hold academic positions globally. Education: Not explicitly detailed in the text, but his career has spanned foundational contributions to computer science. Affiliations: Max Planck Institute for Informatics (since its founding), Universität des Saarlandes (honorary), and multiple academic societies. His research focuses on algorithms, data structures, computational geometry, parallel computing, and algorithmic economics. He pioneered projects like LEDA, a foundational library for efficient algorithms and data structures, influencing tools like CGAL and STXXL. His work bridges algorithm correctness and efficiency, impacting fields from genome sequencing to VLSI design. Recent articles emphasize fair division (EFX allocations), market equilibria, and algorithmic game theory, reflecting his enduring influence on theoretical and applied computer science. Awards: Erasmus Medal (2014), Leibniz Prize, Konrad-Zuse Medal, and honorary doctorates from Magdeburg, Waterloo, and Aarhus. Labs/Teams: Leads MPI's Algorithms and Complexity group; collaborates with institutions like DFKI and the Center for IT-Security, Privacy, and Accountability on Saarland's interdisciplinary campus.
Sarah Tymochko is a Hedrick Assistant Adjunct Professor in the Department of Mathematics at the University of California, Los Angeles (UCLA), where she collaborates with Mason Porter. She earned her Ph.D. in Computational Mathematics, Science, and Engineering (CMSE) from Michigan State University under the guidance of Liz Munch. Her research focuses on topological data analysis, dynamical systems, network science, and opinion dynamics. She is set to join the College of the Holy Cross as an assistant professor in Fall 2025 and is actively involved in interdisciplinary projects, including the WiSDM workshop at UNC Chapel Hill in August 2025. Her work emphasizes applying topological methods to diverse datasets, such as time series analysis, image resolution impacts, and emergency resource evaluation. She has developed the TeaspoonTDA Python package, published in the Journal of Open Source Software, which provides tools for topological signal processing. Her research spans applications in climate science (hurricane diurnal cycles), healthcare (sleep stage classification), and manufacturing (chatter diagnosis in milling).
Jean-Marie Lehn is a renowned chemist and Nobel Laureate in Chemistry (1987) for his contributions to supramolecular chemistry. He held the Chair of 'Chimie des Interactions Moléculaires' at the Collège de France since 1979 and was a Professor at the University of Strasbourg (1970–1979). His work spans molecular recognition, self-organization, and dynamic combinatorial chemistry. Education: Bachelor of Sciences (1960), University of Strasbourg Ph.D. in Chemistry (1963), University of Strasbourg Postdoctoral research at Harvard University (1964) with Robert Burns Woodward Research Interests: Supramolecular Chemistry: Designing systems that self-assemble via molecular recognition Dynamic Combinatorial Chemistry: Exploring reversible libraries for drug discovery Nanotechnology: Developing programmable materials and adaptive systems Bio-inspired Systems: Mimicking biological processes like ion transport and neural signaling Awards & Honors: Nobel Prize in Chemistry (1987) Gold Medal of the CNRS (1981) Commandeur de l’Ordre de la Légion d’Honneur (1996) Over 30 honorary doctorates worldwide Labs & Teams: Laboratoire de Chimie Supramoléculaire at ISIS, Strasbourg Laboratoire de Chimie des Interactions Moléculaires at Collège de France Adjunct Professorships at institutions like Karlsruhe Institute of Technology
Venkat Venkatasubramanian serves as the Samuel Ruben-Peter G. Viele Professor of Engineering at Columbia University's Fu Foundation School of Engineering and Applied Science. He maintains cross-disciplinary affiliations with the Foundations of Data Science Committee, Financial and Business Analytics group, and Education initiatives. His research focuses on three interconnected domains: (1) risk analysis in complex engineered systems using real-time hybrid intelligent frameworks for industrial safety; (2) cyberinfrastructure development for molecular design through Discovery Informatics and Ontological Informatics paradigms; and (3) complex adaptive teleological systems exploring emergent behavior in networked environments via statistical mechanics and artificial life models. These efforts integrate artificial intelligence, informatics, and mathematical programming to address challenges from process safety to pharmaceutical manufacturing. His 2004-2011 publications reveal consistent interdisciplinary innovation across risk management, molecular design, and complex systems theory. Key trends include systemic risk analysis in chemical processes, supply chain resilience under disruption, protein library pattern recognition, and fairness metrics in labor markets – demonstrating seamless integration of chemical engineering, computer science, and complex systems science. Professor Venkatasubramanian founded the Complex Resilient Intelligent Systems Laboratory (CRIS Lab) at Columbia, which serves as the operational hub for his research group. The lab develops real-time risk control methodologies, molecular discovery frameworks, and complex network analysis tools while mentoring graduate students in these cutting-edge interdisciplinary domains.
Laust Moesgaard is a postdoctoral researcher at the University of Southern Denmark's Department of Physics, Chemistry and Pharmacy. His work spans biochemical and pharmacological disciplines, focusing on molecular interactions and computational modeling. Key Research Areas: Histidine methyltransferase SETD3 catalysis in epigenetic regulation P-glycoprotein inhibition mechanisms for multidrug resistance Computational tools for combinatorial library screening (e.g., SpaceGA) Recent Publications demonstrate expertise in molecular dynamics, substrate specificity, and drug design trends. Active collaborations with computational chemists and structural biologists are evident. Awards: Recipient of Eliterejsestipendie (Danish Elite Research Travel Grant) for 2023-2024 Contact: moesgaard@sdu.dk
Marco Eugenio Vazquez Sentis is a Professor at the University of Santiago de Compostela , affiliated with the Department of Organic Chemistry under the Faculty of Biology . He is a member of the Research Center in Biological Chemistry and Molecular Materials (CIQUS) and leads the INCTB: Enzyme Inhibitors and Chemical Tools in Biology research group. Previously, he was part of the BCS: Biological and Supramolecular Chemistry group. PhD in Chemistry (2001), University of Santiago de Compostela BSc in Chemistry (1996), University of Santiago de Compostela (3rd National Prize) His research focuses on the synthesis and application of metallopeptides and fluorescent probes for DNA recognition , intracellular catalysis , and cell signaling modulation . Key areas include G-quadruplex targeting , ROS-mediated cytotoxicity , and supramolecular assembly for biomedical applications. Recent work explores chiral helical polymers , zebrafish seizure models , and lanthanide-based sensors . His publications highlight advancements in sequence-selective DNA binding , metal-dependent cellular processes , and photodynamic therapies . Awards include the Human Frontier Science Program Postdoctoral Fellowship and the 3rd National Prize in Chemistry .
Professor Stefan M. Kast is a faculty member in the Department of Physical Chemistry at the Faculty of Chemistry and Chemical Biology, TU Dortmund University. His research focuses on computational chemistry, molecular dynamics simulations, and solvation theory, with particular emphasis on integral equation theory and biophysical applications including potassium channel studies. Professor Kast's research interests span computational chemistry, molecular dynamics simulations, and solvation theory, with particular emphasis on integral equation theory. His work bridges physical chemistry and biophysics, investigating molecular systems in aqueous environments, protein structure and function, and chemical shift predictions. His interdisciplinary approach combines theoretical methods with experimental validation, focusing on the molecular mechanisms underlying biological processes. Professor Kast leads an active research group with numerous PhD students and postdoctoral researchers. His group participates in major collaborative research efforts including the RESOLV Excellence Cluster. His work has significant implications for understanding molecular interactions in aqueous environments, with applications in drug design and biomolecular engineering. Professor Kast maintains laboratory facilities within the Physical Chemistry department at TU Dortmund University, where his team conducts computational research supported by high-performance computing resources. His group collaborates extensively with experimental researchers to validate theoretical predictions and develop new computational approaches for complex biomolecular systems.
Dr. Faraz Hach is an Associate Professor in the Faculty of Medicine at the University of British Columbia, with a primary appointment in the Department of Urologic Sciences. He is also a Senior Research Scientist at the Vancouver Prostate Centre located at Vancouver General Hospital. His research bridges computational algorithm design with biological problems in precision medicine, with a special focus on cancer genomics. Dr. Hach received his B.Sc. in Computer Engineering from Sharif University of Technology in Iran, followed by M.Sc. and Ph.D. degrees in Computing Science from Simon Fraser University, Canada. His doctoral work was recognized with the Governor General's Gold Medal for the best doctoral thesis at Simon Fraser University in 2014. Dr. Hach's research focuses on computational genomics and biomolecular sequence analysis, particularly in the context of cancer. His lab develops novel high-performance algorithms for analyzing large, high-dimensional omics data produced by next-generation sequencing technologies. Current research directions include: Designing combinatorial algorithms for analyzing genomic structural variations and segmental duplications Developing computational methods for detecting aberrations in tissue and liquid biopsies to understand clonal evolution in cancer genomes Creating data structures and algorithms for compressing large quantities of sequencing data Working on standardization of genomic data formats through involvement with the MPEG-ISO sub-committee Dr. Hach's publications demonstrate a strong trend toward developing computational tools that address specific challenges in cancer genomics and precision medicine. His work spans from fundamental algorithm development to clinical applications, with a particular emphasis on creating tools that improve sensitivity and accuracy while maintaining computational efficiency. Many of his recent publications focus on single-cell analysis, transcriptomic long-read sequencing, and structural variant detection in cancer genomes. Dr. Hach has received several prestigious awards for his work, including: The Ian Lawson Van Toch Memorial Award for an outstanding paper at the 20th Annual International Conference on Intelligent Systems for Molecular Biology The Governor General's Gold Medal for the best doctoral thesis award from Simon Fraser University in 2014 Dr. Hach is actively involved in several major research consortia including the International Cancer Genome Consortium (ICGC) and the ICGC-TCGA Pan Cancer Analysis of Whole Genomes (PCAWG). His earlier work on NGS mappings has been extensively used in the detection of copy number and structural variations in the 1000 Genome Project. He maintains an active research lab that develops numerous open-source software tools for genomic analysis, including Freddie, TKSM, scTagger, Genion, CircMiner, and HASLR. Dr. Hach is available for graduate student supervision, with opportunities for M.Sc., PhD, PostDoc, and intern positions in his lab. His research has significant interdisciplinary components, bridging computer science, genomics, and clinical medicine.
Jeff Martell is an Assistant Professor in the Department of Chemistry at the University of Wisconsin-Madison. His research merges synthetic and biological catalysis, focusing on enzyme-mimicking catalysts within evolvable three-dimensional scaffolds. Education: B.A., 2009, Northwestern University Ph.D., 2015, Massachusetts Institute of Technology Postdoctoral Researcher, 2015–2019, University of California, Berkeley Research interests include developing synthetic catalysts that replicate enzyme efficiency and selectivity through cage-like architectures, combinatorial strategies, and high-throughput screening. Applications span synthetic methodology, energy, environmental remediation, diagnostics, targeted therapeutics, and chemical separations. Recent publications highlight advancements in DNA-scaffolded catalysis, proximity labeling, and polymer-degrading enzyme engineering. Key grants include a three-year Army Research Office award for porous protein frameworks and Hartwell Foundation support for biomedical research. Scientific Awards: Hartwell Foundation Individual Biomedical Research Award Army Research Office Grant Current and former students include Ashley Ogorek (ACS Young Investigator Award), Xu (Assistant Professor, Nanjing University), and NSF Graduate Research Fellowship recipients David Hardy and Max Unger. The Martell Group emphasizes interdisciplinary collaboration and innovative catalytic mechanisms.
Dr. István Szalkai is an Associate Professor at the University of Pannonia, Hungary, with expertise in Operations Research , Applied Mathematics , and UAV Technology . His work bridges mathematical theory with practical applications in project scheduling, drone systems, and sustainable material development. Research areas: Flexible project planning, convex geometry, drone disinfection systems, plastic recycling for 3D printing Key collaborations: Hungarian Integrative Medicine Association, military/civil UAV operations Contact: szalkai@almos.uni-pannon.hu Recent publications highlight his interdisciplinary focus: from multimode resource-constrained scheduling to UAV-based pandemic response systems . He also contributes to theoretical advancements in matroid bases and higher gap morasses . His scientific leadership includes developing mathematical frameworks for reaction mechanisms and creating practical tools like the matrix-based flexible project-planning library . While no specific awards are documented in the provided texts, his 30+ year publication history demonstrates sustained academic impact.
Deanna M. Thompson is an Associate Professor in the Department of Biomedical Engineering at Rensselaer Polytechnic Institute. She holds a B.S.E. from the University of Michigan (1993), M.S. and Ph.D. from Rutgers University (2001), and completed postdoctoral training at Harvard Medical School and Massachusetts General Hospital. Her laboratory focuses on neural tissue engineering, particularly peripheral nerve and spinal cord repair, using biomaterials and neural stem cells. She is affiliated with the Center of Biotechnology and Interdisciplinary Research Center. Research interests include engineered biomaterials for nerve regeneration, endothelial cell signaling in neural stem cell maturation, and high-throughput screening of biomaterials. She has received awards such as the JD Watson Young Investigator Award and Rensselaer School of Engineering Research Award. Thompson serves on the NIH Biomolecular Pre-doctoral Training Program Executive Committee and advises the Society of Women Engineers. Publications span neural engineering, biomaterials design, and nanotechnology applications in regenerative medicine. She actively collaborates on interdisciplinary projects involving fluid dynamics, electrical stimulation, and combinatorial material screening. Her work bridges biomedical engineering, neuroscience, and clinical applications.
Kheewoong Baek, Ph.D. is a Research Fellow in the Department of Biological Chemistry and Molecular Pharmacology (BCMP) at Dana-Farber Cancer Institute in Boston, Massachusetts. His research focuses on protein degradation mechanisms, molecular glues, and targeted therapeutics for cancer treatment. Dr. Baek's research spans several interconnected areas in chemical biology and cancer pharmacology. He specializes in targeted protein degradation technologies, particularly focusing on molecular glues that harness the CRBN E3 ubiquitin ligase system. His work involves chemoproteomics to identify novel protein-protein interactions, structural studies of ubiquitin ligases, and the development of combinatorial libraries for discovering new molecular glue degraders. His research demonstrates expertise in Small Molecule Libraries, Protein-Tyrosine Kinases targeting, Adaptor Proteins signaling, Cell Cycle Proteins regulation, and Combinatorial Chemistry Techniques. Dr. Baek has published multiple high-impact papers between 2023-2025, with significant contributions to understanding CRBN-dependent degradation pathways and ubiquitin signaling mechanisms. His work shows strong interdisciplinary integration of structural biology, chemical biology, and cancer pharmacology approaches. Dr. Baek collaborates extensively with researchers in the Biological Chemistry and Molecular Pharmacology department, particularly with Dr. Eric Fischer's laboratory. His research is likely supported by institutional funding from Dana-Farber Cancer Institute and potentially by grants from the National Institutes of Health or other research foundations focused on cancer biology and chemical biology. Dr. Baek is part of a vibrant research community at Dana-Farber working on targeted protein degradation, with colleagues including Rebecca Metivier, Shourya Roy Burman, and Hong Yue. His laboratory work focuses on understanding the molecular mechanisms of E3 ubiquitin ligases and developing novel therapeutic approaches based on these insights for cancer treatment.
John Löfblom is a Professor at KTH Royal Institute of Technology specializing in Combinatorial Protein Technology. His research focuses on engineering proteins for medical applications, particularly in diagnostics and therapies for cancer and neurodegenerative diseases. He employs advanced techniques like directed evolution and combinatorial libraries to develop affinity proteins such as affibodies. His work includes creating protein-based drugs, prodrugs activated by cancer-associated proteases, and diagnostic tools like PET imaging agents targeting HER3, PDGFRβ, and CD69. Löfblom’s methods involve bacterial display systems (E. coli, staphylococci) for protein selection and optimization of radiolabeled affibody molecules for in vivo imaging. Key projects include: Development of HER3-targeted therapeutics and imaging probes Design of sequestrins to inhibit amyloid aggregation in Alzheimer’s Pioneering PET imaging solutions for early disease detection (e.g., fibrogenesis, inflammatory arthritis) Engineered proteins for BBB-crossing drug delivery systems His research bridges biotechnology and clinical translation, emphasizing preclinical efficacy and molecular imaging contrast optimization.
