Svetlana Rogulina is a Researcher in the Cellular & Molecular Physiology Department at the Yale School of Medicine, affiliated with the Rinehart Lab. Her work focuses on synthetic biology, genetic recoding, and protein engineering. She has contributed to groundbreaking studies on genomically recoded organisms and programmable protein phosphorylation systems. Her research interests include molecular mechanisms of protein modification, bacterial synthetic biology applications, and proteome-wide analysis of phosphorylation-dependent interactions. Notably, she co-authored a 2025 Nature paper demonstrating the creation of a genomically recoded organism with a single stop codon. Rogulina’s publications span over 15 years, with key contributions in Nature Biotechnology , Nature Communications , and Cell Reports . Her work bridges fundamental biology with translational applications in bioengineering and molecular medicine.
Haim Bar is an Associate Professor in the Department of Statistics at the University of Connecticut. His research focuses on high-dimensional data analysis, bioinformatics, and statistical modeling with applications to genomics, proteomics, and public health. He leads initiatives such as the CoCoPUTs project, analyzing codon usage patterns across species and tissues, and develops statistical methods for translational medicine and precision health. Key contributions include the creation of the CancerCoCoPUTs database for cancer-specific codon usage, work on zinc status biomarkers for nutritional interventions, and proteomic-based prediction of immunotherapy responses. His methods address challenges in variable selection, graphical models, and handling missing data in large-scale biological datasets. Bar’s articles span statistical innovation (e.g., graphical models and convex geometry) to applied research in genetics, virology, and oncology. He collaborates across disciplines, integrating computational tools with clinical and ecological data to solve complex biological problems. His lab’s open-source tools like R-CMap advance concept mapping and data visualization.
Professor Ian Stansfield is a Personal Chair in the School of Medicine, Medical Sciences and Nutrition at the University of Aberdeen. He holds a BSc (Hons) in Microbiology and a PhD in Biochemistry from the University of Sheffield. His research focuses on mechanisms of protein synthesis and translational control in eukaryotes, using Saccharomyces cerevisiae as a model system. He has pioneered systems biology approaches to model translation dynamics and synthetic biology applications for improving protein expression systems. Education: BSc (Hons) Microbiology, University of Sheffield (1986) PhD Biochemistry, University of Sheffield (1990) Research Interests: Professor Stansfield investigates translational accuracy, ribosome traffic flow, and tRNA regulation. His lab develops computational models to predict translational stress and engineer synthetic gene circuits for biotechnological applications. Key areas include optimizing protein production in yeast and E. coli, with applications in pharmaceuticals and diagnostics. Publications Trends: His work spans translational mechanisms, synthetic biology, and bioinformatics. Recent articles address sub-diffusive protein behavior, codon optimization tools, and oncology research sustainability. Collaborations with Prof. M.Carmen Romano integrate mathematical modeling with experimental biology. Awards: Gold Medal, iGEM 2014 (Best Health and Medicine Project) Silver Medal, iGEM 2010 Grants and Labs: He leads grants from Wellcome Trust, BBSRC, and industrial partners. His lab oversees the University of Aberdeen's iGEM teams, which have developed diagnostic systems for neglected tropical diseases. Collaborations include the University of Edinburgh and industry partners like Ingenza Ltd. Labs/Teams: His research group focuses on synthetic biology and translational systems biology, with ongoing projects on predictive modeling of translation systems and stress mitigation during protein expression.
Chris Hittinger is a Professor in the Department of Genetics at the University of Wisconsin–Madison, where he leads a research group focused on evolutionary genomics and synthetic biology of yeast carbon metabolism. He is affiliated with the School of Medicine and Public Health and conducts research at the Wisconsin Energy Institute. His lab is supported by the National Science Foundation and the DOE Great Lakes Bioenergy Research Center. Research Interests: Evolutionary and functional genomics of yeasts Yeast biodiversity and ecology Synthetic biology and genome engineering Carbon metabolism and bioenergy applications Horizontal gene transfer and evolutionary innovation Domestication and hybridization in brewing yeasts Dr. Hittinger's research integrates genomics, biochemistry, and systems biology to understand how metabolic networks evolve and can be engineered for biotechnological applications. His work spans from fundamental evolutionary questions to applied biofuel development. Recent Research Trends: His recent publications highlight a strong focus on phylogenomics, metabolic evolution, and the ecological and genomic basis of yeast diversity. He employs machine learning and comparative genomics to uncover principles of gene family evolution, codon usage, and niche adaptation across the Saccharomycotina subphylum. A recurring theme is the discovery of novel metabolic pathways and evolutionary mechanisms, such as horizontal gene transfer and convergent evolution. Scientific Engagement: Active mentorship through the Wild YEAST program for high school and undergraduate students Leadership in yeast taxonomy and genomics consortia Development of bioinformatics tools (e.g., CRISPy-pop, sppIDer) Extensive collaborative network across microbiology, genomics, and biotechnology Advising and Funding: Dr. Hittinger advises numerous graduate students and postdocs, many of whom have gone on to PhD programs and biotech careers. His research is funded by major grants from the NSF and DOE, supporting projects on yeast biodiversity, bioenergy, and genome evolution. He leads large-scale collaborative efforts such as the Y1000+ Project, aiming to sequence all known budding yeast species. Laboratory and Outreach: The Hittinger Lab maintains the yH Strain Collection, distributing over 2,100 yeast strains globally. The lab also runs the Wild YEAST program, engaging students in field sampling and discovery of novel yeasts from natural environments.
Henrik Bringmann is a Professor at Technische Universität Dresden leading the Bringmann Lab, which investigates sleep regulation and its biological functions using Caenorhabditis elegans and mouse models. The lab focuses on molecular mechanisms of sleep-related health benefits and developing tools for long-term experimental observation. Developed agarose hydrogel microcompartments for imaging sleep behavior Created Codon Adapter web tool for gene expression control Engineered non-Mendelian inheritance systems in worms Designed OptoGenBox for optogenetic stimulation protocols Research findings aim to address sleep disorders and develop regenerative therapies. The lab includes 10+ active researchers with positions ranging from Predoc to Postdoc.
Dr. Anne Condon is a Professor in the Department of Computer Science at the University of British Columbia (UBC), affiliated with the Faculty of Science. Her research focuses on computational complexity, algorithms, and molecular programming, particularly in nucleic acid structure prediction and bioinformatics. She is an ACM Fellow and a Fellow of the Royal Society of Canada. Education: Bachelor's degree in Computer Science from University College Cork, Ireland (1982) Ph.D. in Computer Science from the University of Washington (1987) Research Interests: Dr. Condon's work bridges computer science and molecular biology, addressing challenges in algorithm design for nucleic acid systems, RNA secondary structure prediction, and energy parameter estimation. She explores computational models such as Chemical Reaction Networks (CRNs) and DNA strand displacement systems for molecular programming. Her research emphasizes practical applications in synthetic biology and biotechnology. Publications: Her recent work includes studies on chemical reaction networks for approximate majority consensus, efficient DNA kinetics modeling, and interpretable dimensionality reduction of single-cell transcriptome data. Key contributions span algorithm design, computational biology, and interdisciplinary collaborations. Awards & Affiliations: ACM Fellow Fellow of the Royal Society of Canada Member of the Institute for Computing, Information and Cognitive Systems (ICICS) and the Institute of Applied Mathematics at UBC Supervision & Grants: She actively supervises doctoral and master's students in areas like nucleic acid kinetics, bioinformatics, and molecular programming. Her grants and funding support interdisciplinary research at the intersection of computer science and molecular biology. Labs & Teams: Condon's affiliations with UBC's ICICS and Institute of Applied Mathematics facilitate collaborative research in computational methods for systems biology and molecular computing.
Markus Petri Alahuhta is a Researcher IV in Molecular Biology at the National Renewable Energy Laboratory (NREL), based in the Biosciences Center. His work is centered on advancing bio-based solutions for renewable energy and sustainable chemical production through innovative enzyme science. Institution: National Renewable Energy Laboratory (NREL) Division: Biosciences Center Department: Molecular Biology Position: Researcher IV Dr. Alahuhta holds a PhD and Master’s degree in Biochemistry from the University of Oulu, Finland. He began his career as a Biochemistry Research Assistant at the same institution and later joined NREL as a Postdoctoral Researcher (2008–2011), where he has remained as a key research scientist. His primary research interests include: Cell-free enzymatic pathways and reactors Production of renewable chemicals and fuels without cellular constraints Streamlined, large-scale enzyme production Enzyme engineering and catalytic mechanism elucidation Macromolecular X-ray crystallography Biochemical and structural characterization of enzymes The trend in Dr. Alahuhta’s recent publications (2024–2016) shows a consistent focus on enzyme function, stability, and application in bioenergy contexts. His work bridges structural biology with synthetic biology, particularly in cell-free systems and thermophilic enzymes. Topics span from cofactor stability in biocatalysis to heterologous expression in Escherichia coli and yeast, and detailed structural analyses of glycoside hydrolases. These efforts support the development of efficient, scalable bioprocesses for sustainable fuel and chemical production. Scientific awards received: NREL President's Award (2020) – awarded for outstanding scientific contribution and team impact Dr. Alahuhta has been deeply involved in numerous research grants and collaborative projects, primarily funded through NREL and the U.S. Department of Energy. He regularly advises and collaborates with junior scientists and co-authors, contributing to the training of the next generation of bioenergy researchers, though no formal PhD or Master’s students are explicitly listed. His work often involves interdisciplinary teams focused on enzyme discovery, characterization, and engineering. He is a core member of NREL’s enzyme engineering and cell-free biocatalysis teams, contributing to high-throughput enzyme screening, structural analysis, and process development. His lab and team focus on integrating biochemical, structural, and systems biology approaches to optimize enzymatic pathways for industrial applications.
Dr. Nikhil Nair is an Associate Professor in the Department of Chemical and Biological Engineering at Tufts University, USA, and a member of the Graduate Biomedical Sciences Program in Genetics, Molecular and Cellular Biology. He holds a B.S. in Chemical Engineering from Cornell University (2003), an M.S. (2006) and Ph.D. (2010) in Chemical & Biomolecular Engineering from the University of Illinois at Urbana-Champaign. After postdoctoral training at Harvard Medical School, he joined Tufts in 2010. Research Focus: The Nair Lab engineers microbial systems to advance applications in biofuels, biocatalysis, and biomedical therapeutics. Key projects include synthetic biology approaches to reprogram microbial physiology, protein engineering for enhanced biocatalyst performance, and metabolic pathway design for novel product synthesis. Recent initiatives explore cultivated meat media optimization using microbial lysates and engineering bacterial spores for environmental remediation. Key Contributions: Dr. Nair’s work bridges foundational biology and applied engineering. Notable advancements include a semi-synthetic regulon enabling yeast growth on pentoses, engineered lactobacilli for anti-biofilm activity, and machine learning-driven enzyme stability improvements. His lab also pioneered methods to quantify probiotic-mucus interactions and suppress false positives in biosensor-guided evolution. Awards & Recognition: He was named a Senior Member of the National Academy of Inventors (2025) for contributions to engineered biological systems. His research is supported by grants from the NIH, USDA, and industry partnerships. Education & Training: The lab trains Ph.D. students, postdocs, and undergraduates in synthetic biology, metabolic engineering, and systems bioengineering. Current projects span lab-grown meat media development, antimicrobial peptide engineering, and synthetic microbial consortia design. Career Highlights: Over 75 peer-reviewed publications, 5 issued patents, and invited talks at major conferences including the International Metabolic Engineering Conference and Synthetic Biology: Engineering, Evolution & Design (SEED).
Peter van der Gulik is a researcher at Centrum Wiskunde & Informatica (CWI) in Amsterdam, working in the Algorithms and Complexity department and the Information & Documentation section. His research focuses on evolutionary biochemistry, specifically the genetic code structure, tRNA biology, and eukaryogenesis. He holds a Ph.D. from the University of Amsterdam (2019), advised by Harry Buhrman, Wouter Hoff, and Dave Speijer. His work bridges computational biology and evolutionary theory, addressing questions like the origins of the genetic code and the validity of taxonomic frameworks. Key contributions include defending the three-domain system of life, analyzing tRNA gene annotations in prokaryotes, and proposing taxonomic reforms. His publications span journals like BioEssays , Biological Reviews , and RNA Biology , reflecting interdisciplinary engagement with both computational methods and biological theory. Current efforts emphasize resolving inconsistencies in evolutionary narratives through rigorous genomic analysis and historical biochemical data integration. Despite no listed awards, his work has influenced debates on foundational evolutionary concepts such as the tree of life paradigm and Linnaean taxonomy modernization. Grant details are not explicitly mentioned, but his affiliation with CWI and collaborations with institutions like Quantinuum and Oklahoma State University suggest active research partnerships.
Jeffrey L. Bose, PhD is an Associate Professor in the Department of Microbiology, Molecular Genetics and Immunology at the University of Kansas Medical Center School of Medicine. He received his BS and MS in Bacteriology and Food Science from the University of Wisconsin-Madison, followed by a PhD in Microbiology from the University of Georgia. After completing postdoctoral training at the University of Nebraska Medical Center, he established his laboratory at KUMC in 2014. Dr. Bose's research focuses on the molecular mechanisms of Staphylococcus aureus pathogenesis, particularly how this bacterium regulates virulence factor production and adapts to host environments. His laboratory investigates how fatty acid metabolism and stress response pathways (particularly the YjbH/Spx system) impact S. aureus physiology, gene regulation, and virulence. Using a combination of genetics, metabolomics, transcriptomics, and murine infection models, his lab seeks to identify novel pathways that S. aureus uses to cause disease, with a particular emphasis on CA-MRSA strains. Analysis of Dr. Bose's recent publications reveals a consistent focus on S. aureus virulence mechanisms, with particular emphasis on fatty acid kinase (FakA) and stress response systems. His work bridges bacterial metabolism, signal transduction, and host-pathogen interactions, contributing significantly to our understanding of how environmental cues regulate virulence in this important pathogen. Dr. Bose is actively involved in mentoring the next generation of microbiologists, with several PhD students currently working in his laboratory. His lab has made important contributions to the development of genetic tools for studying S. aureus, including stable plasmids for in vitro and in vivo studies, codon-optimized reporter systems, and the NTML Toolkit for genetic manipulation. The Bose Lab maintains a strong research program focused on understanding the molecular basis of S. aureus pathogenesis. Current projects examine how environmental fatty acids alter cell physiology and virulence, and how the YjbH/Spx stress response system contributes to resistance against host immune defenses. The lab's work has important implications for developing new therapeutic strategies against antibiotic-resistant staphylococcal infections.
Professor Tamir Tuller is a Full Professor in the Department of Biomedical Engineering at Tel Aviv University's Faculty of Engineering, where he leads the Laboratory of Computational Systems and Synthetic Biology. He also maintains affiliations with the Edmond J. Safra Center for Bioinformatics. His research spans computational biology, bioinformatics, and systems biology with a focus on developing mathematical models of gene expression and biological systems. Prof. Tuller's research interests include computational modeling of gene expression, engineering of gene expression systems, deciphering the gene expression code, evolutionary systems biology, computational study of molecular evolution, and gene expression in diseases. His work particularly focuses on developing computational predictive models to mathematically analyze and simulate gene translation processes, devising approaches for engineering gene expression for biotechnological objectives, and analyzing large-scale genomic data to understand how gene expression is encoded in transcripts. Analysis of his 15 most recent publications reveals a strong trend toward computational approaches for understanding and engineering biological systems. His work integrates mathematical modeling, machine learning, and large-scale genomic analysis to address challenges in virology, cancer research, synthetic biology, and genome editing. Key themes include the relationship between RNA structure and viral pathogenesis, computational prediction of CRISPR efficiency, AI-driven analysis of evolutionary patterns in codon usage, and the development of novel tools for gene expression modeling. Prof. Tuller leads an active research laboratory focused on computational systems and synthetic biology. His team develops comprehensive computational models to study intracellular processes, particularly mRNA translation dynamics, and applies these models to problems in biotechnology, medicine, and agriculture. The lab's work bridges theoretical computational approaches with experimental validation, as evidenced by numerous publications demonstrating practical applications of their computational models. His research has significant implications for vaccine development (particularly for viruses like Zika and Hepatitis C), cancer diagnostics and treatment, synthetic biology applications, and improving genome editing technologies. The lab's EXPosition tool for CRISPR-Cas9 sgRNA evaluation represents a practical application of their computational models that has potential to enhance genome editing projects across multiple fields.
Patricia L. Clark is the O'Hara Professor of Chemistry and Biochemistry and Concurrent Professor in Chemical and Biomolecular Engineering at the University of Notre Dame. Her research focuses on the thermodynamics and kinetics of protein folding in aqueous environments, with emphasis on the interplay between polypeptide sequence, solvent quality, and cellular machinery. Ph.D., Molecular Biophysics, University of Texas Southwestern Medical Center (1997) B.S., Chemistry, Georgia Institute of Technology (1991) Key research themes include: Probing conformational ensembles of intrinsically disordered proteins Investigating cotranslational folding mechanisms using ribosome-nascent chain complexes Developing computational and experimental tools (e.g., SAXS, FRET) to analyze folding pathways Elucidating the role of synonymous codon usage in protein biogenesis Studying stress-dependent oligomerization in bacterial protease-chaperones Her recent publications (2024–2018) demonstrate a sustained focus on codon-mediated folding regulation, disordered protein behavior in water, and structural analysis of chaperone systems. Notable contributions include the CHARMING and HarMinMax algorithms for codon harmonization and the characterization of protein collapse phenomena. Scientific appointments: O'Hara Professor of Chemistry and Biochemistry, University of Notre Dame Associate Vice President for Research Biophysics Instrumentation Core Facility Director
Scott Emrich is an Associate Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He also serves as the Interim Program Director for the UT-Oak Ridge Innovation Institute (UT-ORII) Ph.D. program in Data Science and Engineering. Dr. Emrich earned his B.S. in Biology and Computer Science from Loyola College in Maryland, followed by a Ph.D. in Bioinformatics and Computational Biology from Iowa State University. Upon completing his Ph.D., he received both the ISU Research Excellence Award and the university-wide Zaffarano Prize for Graduate Research. Before joining the University of Tennessee, he was the Director of Bioinformatics at the University of Notre Dame with faculty appointments in Computer Science and Engineering and Biological Sciences. His research focuses on genome-centric bioinformatics, parallel and distributed computing, and the integration of biological applications with second- and third-generation sequencing technologies. Dr. Emrich has published over 75 peer-reviewed publications in high-impact venues including Science (with 2 covers), PNAS, Nature, and Genome Research. His work has been cited over 14,300 times according to Google Scholar. His research group has introduced novel biological problems to the computer science community and developed bioinformatics frameworks that have contributed to high-impact publications in genomics. Dr. Emrich's publications demonstrate a strong trend toward integrating machine learning and AI approaches with traditional bioinformatics methods, particularly in codon usage analysis, genome assembly, and vector biology. His recent work shows increasing sophistication in language models for biological sequences and reference-free analysis techniques. His scientific awards include: 2008 Zaffrano Prize for Graduate Research ISU Research Excellence Award Dr. Emrich has advised numerous students throughout his career, including current PhD students in Genome Science and Technology and Data Science programs. His research has been supported by multiple NIH awards, including leadership roles on a NIAID contract (VectorBase) and a 2017-funded P01 grant on malaria genetics. Additional funding has come from the U.S. Department of Agriculture (USDA), the Department of Energy (DOE), and the state of Tennessee. He leads a research group focused on developing scalable computational tools that advance our understanding of genome biology. His group has introduced novel biological problems such as the influence of codon usage on protein folding to the broader computer science research community.
Kiril Todorov Kirilov is an Assistant Professor in the Department of Biological Sciences at New Bulgarian University, where he has been employed since 2022. Previously, he worked as a researcher at the Institute of Molecular Biology, Bulgarian Academy of Sciences (2007-2022). He holds a Master's degree in Engineering Biotechnology from the University of Chemical Technology and Metallurgy, Sofia (2001) and a PhD in Molecular Biology from the Bulgarian Academy of Sciences (2014). His specialized training includes bioinformatics at the International Centre for Genetic Engineering and Biotechnology in Italy (2003) and Carleton University in Canada (2013). His research focuses on molecular biology, bioinformatics, and biotechnology, with specific interests in codon usage patterns, glycation processes, enzyme kinetics, and therapeutic compound development. He has published extensively on topics ranging from DNA analysis techniques to neurotensin applications in Parkinson's disease. Dr. Kirilov teaches multiple courses including Zoology of Vertebrates, Genetic Engineering, Molecular Biology, Cell Biology, and Industrial Biotechnology. He holds two patents (2017) for educational materials in chemistry and environmental protection designed for secondary schools.
Bruce Futcher is a Professor in the Department of Microbiology and Immunology at Stony Brook University . His research spans molecular genetics and computational biology, focusing on fundamental cellular processes in Saccharomyces cerevisiae (budding yeast). Research Interests: Cell Division Control: Investigates cyclin-dependent kinase (CDK) regulation, cell size control mechanisms, and translational coupling with metabolism. Protein Translation: Studies codon usage effects on translation efficiency and novel mechanisms of translation initiation. Computational Approaches: Collaborates with Dr. Steve Skiena to integrate bioinformatics with experimental methods. Publications: His work addresses yeast genetics, vaccine design via codon-pair deoptimization, and quantitative analysis of cell cycle regulation. Recent studies examine RNA extraction methods, ribosomal protein roles, and evolutionary spandrels in codon distribution. Applications: Research findings contribute to cancer biology (anti-CDK drugs: Ibrance, Verzenio, Kisqali) and vaccine development (attenuated viruses with modified codon patterns).
