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Joseph A. November is an Associate Professor in the Department of History at the University of South Carolina, affiliated with the McCausland College of Arts and Sciences. His research focuses on the history of biomedical computing, distributed computing, and the intersection of technology and medicine. He holds a Ph.D. from Princeton University (2006), an M.A. from the University of Chicago (2002), and a B.A. from Hamilton College (1997). His work includes the award-winning book Biomedical Computing: Digitizing Life in the United States (2012), which explores the co-development of biomedicine and computing technologies. Current projects include Revolutions@home , examining distributed computing in protein folding research, and a biography of computing pioneer Robert S. Ledley. He has received grants from the NSF, NIH, and the Charles Babbage Institute. Teaching interests span the history of science and technology, including courses on the history of medicine, digital humanities, and the role of games in historical education. He actively contributes to professional organizations like SHOT and the History of Science Society. Awards include the Computer History Museum Prize (2013) and the National Institutes of Health DeWitt Stetten Fellowship (2007-2008). His research bridges historical analysis with contemporary issues in technology and biomedical ethics.

• History of Science and Technology
• Biomedical Computing
• History of Medicine
• +3 more

Pierre Vandergheynst is a Full Professor at the Swiss Federal Institute of Technology Lausanne (EPFL) in the Department of Electrical Engineering, with a courtesy appointment in Computer and Communication Sciences. He serves as EPFL’s Vice-Provost for Education since 2015 and leads the Signal Processing Laboratory 2 (LTS2). His research spans harmonic analysis, sparse approximations, mathematical data processing, and applications in signal/image processing, computer vision, machine learning, and graph-based data analysis. PhD in Mathematical Physics (1998), Université catholique de Louvain Postdoctoral Researcher at EPFL (1998-2001) Assistant Professor at EPFL (2002-2007) His research explores geometry/symmetry in high-dimensional data, redundant dictionaries for dimensionality reduction, and computational harmonic analysis on manifolds. Recent work focuses on protein structure modeling, geometric deep learning, and graph-based signal processing. Key article trends include graph neural networks for protein analysis, geometric deep learning in neuroscience, and structured knowledge priors in neural models. His 2023-2025 publications emphasize interpretable AI, long-range dependencies in graphs, and molecular representation learning. Scientific Awards: IEEE Signal Processing Magazine Best Paper Award (2023) Signal Processing Society Best Paper Award (2022) Apple ARTS Award (2007) De Boelpaepe Prize, Royal Academy of Sciences of Belgium (2009-2010) He has supervised over 30 PhD theses and contributed to foundational work in graph signal processing, compressive sensing, and geometric deep learning. His lab develops tools for data science on non-Euclidean structures, with applications in medicine, astronomy, and wireless systems.

• Data Science
• Machine Learning
• Computational Harmonic Analysis
• +6 more

Dawn Y. Sumner is a Professor in the Department of Earth and Planetary Sciences at the University of California, Davis. Her research focuses on geobiology, paleobiology, and planetary science, particularly reconstructing ancient environments on Earth and Mars. She is a key member of NASA’s Mars Science Laboratory team, contributing to the Curiosity rover’s exploration of Gale Crater on Mars. Sumner’s work integrates field studies, lab analyses, and interdisciplinary approaches to understand microbial life’s role in shaping Earth’s history and potential habitability on other planets. Education: Ph.D., Massachusetts Institute of Technology (1995). Research interests include microbialite formation, Antarctic lake ecosystems, and the evolution of oxygenic photosynthesis. She investigates modern microbial communities in ice-covered lakes (e.g., Lake Vanda) to understand ancient environments and their biosignatures. Her scientific awards include the California Academy of Sciences Academy Fellow (2020) and Geological Society of America Fellow (2014). Sumner emphasizes inclusive education and supports student success in STEM through feminist research practices. Labs/Teams: W.M. Keck Center for Active Visualization in the Earth Sciences (KeckCAVES), Antarctic Lake Research Group.

• Geobiology
• Paleobiology
• Geochemistry
• +3 more

Yaojun Zhang is an Assistant Professor in the Department of Physics & Astronomy and the Department of Biophysics at Johns Hopkins University. She earned her PhD in Physics from the University of California, San Diego (2015), followed by postdoctoral fellowships at the Princeton Center for Theoretical Science (2015-2018) and the Princeton Center for the Physics of Biological Function (2018-2021). Her research focuses on biological physics, particularly the complex behaviors of biomolecules and their assemblies across scales—from single-molecule folding to intracellular transport and biomolecular phase separation. She employs theoretical, mathematical, and computational tools to bridge biological questions with physical principles. Education PhD in Physics, University of California, San Diego (2015) Postdoctoral Fellowships: Princeton University (2015-2021) Research Interests Her group studies biomolecular condensates and liquid-liquid phase separation, exploring how microscopic interactions determine macroscopic properties of cellular compartments. Key areas include: Biomolecular condensate formation and dynamics Phase separation in cellular environments Interactions between biomolecules and cellular components Biophysics of intracellular transport Collaborations & Tools Zhang collaborates with experimentalists to validate theoretical models and develops frameworks for understanding condensate functions, such as surface tension, stoichiometry, and phase diagrams. Her work addresses challenges like condensate stability, molecular exclusion, and biological function regulation. Labs & Resources She leads the Zhang Lab , which integrates experimental and computational approaches. Her team’s research is supported by resources at the Bloomberg Center for Physics and Astronomy.

• Biological Physics
• Biophysics
• Theoretical Physics
• +3 more

Gary Pielak is a Kenan Distinguished Professor of Chemistry, Biochemistry, and Biophysics at the University of North Carolina at Chapel Hill, with a joint appointment in the School of Medicine. His research focuses on high-resolution protein NMR studies in living cells and the biophysics of tardigrade desiccation-tolerance proteins, bridging structural biology and molecular biophysics. Education: BS in Chemistry from Bradley University (1977), PhD in Biochemistry from Washington State University (1983), Postdoc at the University of British Columbia (1983-1986), Postdoc at Oxford University (1986-1988). Research Interests center on understanding protein structure, stability, and function in physiologically relevant environments. Key areas include: In-Cell NMR: Quantifying protein behavior in living cells using advanced NMR techniques. Macromolecular Crowding: Studying synthetic polymers and proteins as crowding agents to mimic cellular environments. Tardigrade Biology: Exploring desiccation-tolerance mechanisms in intrinsically disordered proteins from water bears. Recent Publications highlight interdisciplinary trends, combining AI-driven stability prediction, solid-state NMR for dry protein analysis, and molecular glass/gel applications for preservation. His Scientific Awards include: NIH Pioneer Award DuPont and Morrow Young Faculty Awards Multiple UNC Mentorship Awards Mentorship is a cornerstone, with a focus on training graduate students and advancing NMR methodologies. His group employs Research Methods : 19F, 1H, 15N, and 13C NMR Circular Dichroism and Calorimetry Protein Expression in E. coli

• Protein Biophysics
• In-Cell NMR Spectroscopy
• Macromolecular Crowding
• +3 more

Prof. Dr. Malte Oppermann is a full Professor at the University of Basel , leading the Ultrafast Chiral Dynamics Laboratory within the Department of Chemistry. His group specializes in developing cutting-edge time-resolved spectroscopic techniques to probe molecular transformations on femtosecond to microsecond timescales, focusing on chirality and structural dynamics in complex systems. Research Focus: Ultrafast Chiral Spectroscopy : Using circularly polarized laser pulses to resolve structural changes in chiral systems. Molecular Motors & Protein Dynamics : Capturing conformational changes in synthetic motors and proteins in native environments. Photoactive Materials : Investigating light-energy conversion mechanisms in chiral photochemical systems. His research bridges physics and chemistry, employing state-of-the-art laser technology and collaborating internationally across synthesis, spectroscopy, and theory. Publications & Impact: Prof. Oppermann’s work (2011–2025) spans ultrafast spectroscopy , chiral dynamics , nanomaterials , and biomolecular photophysics . Key themes include spin-crossover dynamics, DNA photodamage, and plasmonic nanoparticles, with techniques like transient X-ray absorption and deep-UV circular dichroism. Team & Opportunities: The group actively recruits MSc/PhD students and postdocs in physics, chemistry, and materials science. Interested candidates are encouraged to contact Prof. Oppermann directly.

• Ultrafast spectroscopy
• Chiral dynamics
• Molecular dynamics
• +4 more

Thibault Mayor is a Professor in the Department of Biochemistry and Molecular Biology and the Michael Smith Laboratories at the University of British Columbia (Vancouver). His research focuses on understanding how cells manage misfolded proteins, with implications for neurodegenerative diseases like Parkinson's and Alzheimer's. He holds academic affiliations with the Centre for High-Throughput Biology (CHiBi) and has been recognized with awards including the UBC Killam Teaching Award (2020). Education: BSc, University of Geneva, Switzerland (1997) PhD, University of Geneva & Max Planck Institute of Biochemistry, Germany (2001) Postdoctoral Fellow, California Institute of Technology (2002) Research Interests: Mayor's lab investigates protein homeostasis, ubiquitin-proteasome system dynamics, and the molecular mechanisms underlying protein aggregation in aging and disease. Projects include proteomic approaches to identify aggregation-prone proteins and develop microbial cell factories for protein production. Grants & Awards: CIHR Project Grant ($730K, 2018) Michael Smith Foundation Career Award (2012) UBC Killam Teaching Award (2020) Labs & Collaborations: The Mayor Lab is part of the Michael Smith Laboratories and collaborates with computational biologists like Jörg Gsponer. They maintain active partnerships in proteomics and systems biology, contributing to initiatives like the BC Proteomics Network.

• Protein Homeostasis
• Ubiquitin Proteasome System
• Neurodegenerative Diseases
• +7 more

Britt Adamson is an Associate Professor in the Department of Molecular Biology and the Lewis-Sigler Institute for Integrative Genomics at Princeton University, where she serves as Director of the Undergraduate Program in Quantitative and Computational Biology. Her lab investigates molecular networks in human cells with focus on stress response mechanisms and genome editing technologies. She received her B.S. in Biology from the Massachusetts Institute of Technology (2005) and Ph.D. in Genetics and Genomics from Harvard University (2012), followed by postdoctoral training at UCSF under Jonathan Weissman supported by a Damon Runyon Cancer Research Foundation Fellowship. Adamson's research centers on how cells organize stress response networks during DNA damage and endoplasmic reticulum stress, developing CRISPR-based functional genomics and single-cell sequencing tools to map molecular behaviors. Her work bridges fundamental cell biology with therapeutic applications in genome editing. Analysis of her 15 most recent publications reveals dominant themes in precision genome editing (prime/base editing optimization) and systematic dissection of DNA repair pathways through combinatorial CRISPR screening. Her lab consistently integrates computational approaches with high-resolution experimental techniques to uncover context-dependent cellular behaviors. Her scientific recognitions include: Damon Runyon Cancer Research Foundation Postdoctoral Fellowship Princeton IP Accelerator Award (2025) STAT Who to Know: 10 Scientists leading a new generation of gene editors (2024) Adamson actively mentors eight graduate students (including alumni Ann Cirincione and Jun Hussmann) and two postdocs, with research funded through institutional awards and collaborative grants. Her lab's technological developments have enabled projects spanning virology, immunology, and developmental biology. The Adamson Lab operates within Princeton's Lewis-Sigler Institute for Integrative Genomics, fostering an interdisciplinary environment that merges cell biology, genomics, and computational science. Current projects focus on improving prime editing efficiency and understanding stress response adaptation in disease contexts.

• Stress Response Networks
• DNA Damage Response
• Genome Editing
• +3 more

David S. Eisenberg is a Professor of Chemistry and Biochemistry and Biological Chemistry at the University of California, Los Angeles, where he also serves as Director of the UCLA-DOE Institute for Genomics and Proteomics and as an HHMI Investigator. His research focuses on protein interactions, particularly the structural basis for conversion of normal proteins to the amyloid state and conversion of prions to the infectious state. Dr. Eisenberg earned his undergraduate degree in biochemical sciences from Harvard College and his D.Phil. degree in theoretical chemistry from Oxford University on a Rhodes Scholarship. His postdoctoral research was on ice and water with Walter Kauzmann at Princeton and in protein crystallography with Richard Dickerson. He joined the UCLA faculty after his postdoctoral studies. Dr. Eisenberg and his research group focus on protein interactions in amyloid and prion diseases. These diseases involve protein aggregation where normal functional proteins convert to abnormal aggregated forms. Systemic amyloid diseases like dialysis-related amyloidosis result from fiber accumulation until organ failure, while neurodegenerative diseases like Alzheimer's, Parkinson's, ALS, and prion conditions appear to be caused by smaller oligomers. In 2005, his team determined the atomic-level structure for the amyloid fiber spine, revealing a 'steric zipper' of two parallel beta sheets packed across a dry interface. Since then, they've determined approximately 90 amyloid spines from 15 disease-related proteins. In 2010, they identified the structure of a toxic amyloid-related oligomer consisting of six anti-parallel beta strands forming a cylindrical barrel. His recent publications demonstrate continued innovation in amyloid research, with focus areas including structural prediction of amyloid formation, mechanisms of tau fibril disassembly in Alzheimer's disease, cryo-EM analysis of amyloid polymorphism, and structure-based design of inhibitors for amyloid toxicity. His work integrates computational, structural, and biochemical approaches to understand protein aggregation across multiple disease contexts. Dr. Eisenberg has received numerous prestigious awards and honors: National Academy of Sciences Member American Philosophical Society Member Institute of Medicine Member Howard Hughes Medical Institute Investigator Biophysical Society Emily M. Gray Award Harvard Westheimer Medal UCLA Seaborg Medal Technion - Israel Institute of Technology Harvey Prize in Human Health As Director of the UCLA-DOE Institute for Genomics and Proteomics and an HHMI Investigator, Dr. Eisenberg leads significant research initiatives in protein structure and aggregation. His laboratory combines X-ray crystallography, bioinformatics, and biochemical techniques to investigate protein interactions, with particular emphasis on amyloid-forming proteins and their role in disease. The Eisenberg Lab, located in Boyer Hall at UCLA, maintains an active research program investigating the structural basis of protein aggregation. The lab continues to build on its landmark discoveries of amyloid structures while exploring new frontiers in understanding protein misfolding diseases and developing potential therapeutic interventions.

• Protein Aggregation
• Amyloid Structures
• Prion Diseases
• +5 more

Michele Klingbeil is a Professor in the Department of Microbiology at the University of Massachusetts Amherst, where she leads the Klingbeil DNA Replication Laboratory. She received her PhD in Cell and Molecular Biology from the University of Toledo in 1996 and previously worked at Johns Hopkins School of Medicine before moving to UMass in July 2007. Her educational background includes: PhD in Cell and Molecular Biology, University of Toledo, 1996 Dr. Klingbeil's research focuses on the unique biology of trypanosomatid parasites, particularly Trypanosoma brucei , the causative agent of African sleeping sickness. Her laboratory investigates two main areas: (1) replication of the unusual mitochondrial DNA network called kinetoplast DNA (kDNA), and (2) nuclear DNA replication initiation. Her work on kDNA is particularly significant as this structure is essential for parasite survival but has no counterpart in mammalian hosts, making it an attractive drug target. She employs a combination of reverse genetics (RNAi), cell biology, and biochemistry to understand the replication and repair mechanisms of kDNA, with a special focus on a family of four DNA polymerases related to bacterial Pol I. Dr. Klingbeil's recent publications reveal her laboratory's deep investigation into mitochondrial DNA polymerases in trypanosomatids, with discoveries showing multiple polymerases having specialized functions in kDNA replication and repair. Her research has established that several of these polymerases are essential for parasite viability, opening new avenues for drug development. She has also made significant contributions to understanding the simplified Origin Recognition Complex in trypanosomatids compared to other eukaryotes. Dr. Klingbeil has received the Thomas G. Lessie Distinguished Lectureship Award for her impact on teaching at the graduate level. Her research is funded by the National Institutes of Health, U.S. Department of Agriculture, the Joeph P. Healey Endowment, and the University of Massachusetts Amherst. She has mentored numerous graduate and undergraduate students, including current PhD candidates Dave Bruhn, Jeniffer Concepción, and Juemin Luo, as well as visiting scholar Eva Vidal Rico. Her former students have gone on to positions at institutions including Dana Farber/Broad Institute, Regis College, and Flagship Ventures. The laboratory regularly participates in scientific conferences including the Molecular Parasitology Meeting at Woods Hole and the Kinetoplastid Molecular Cell Biology conference. Dr. Klingbeil teaches several courses including Parasitology (MICRO 590S), Parasitology Lab (MICRO 590L), Molecular Mechanisms of Pathogenesis (MICRO 797P), Advanced Cell Biology (MCB 641), and Writing in Microbiology (MICRO 360). Her laboratory organizes regular social events including pumpkin carving parties and outings to Six Flags New England and Mt. Sugarloaf.

• Parasitology
• Molecular Biology
• Microbiology
• +4 more

Andrew D. White is an Associate Professor of Chemical Engineering at the Hajim School of Engineering & Applied Sciences, University of Rochester. He holds a PhD from the University of Washington (2013). His research focuses on automating scientific discovery through AI, particularly leveraging large language models (LLMs) and deep learning techniques in chemistry. His lab develops agents that integrate literature analysis, hypothesis generation, and experimental design to advance fields like molecular dynamics and drug discovery. Education: PhD in Chemical Engineering, University of Washington, 2013 BS/MS (not explicitly stated in text, inferred from career timeline) Research Interests: Large language models for scientific automation Deep learning applications in chemistry and materials science Molecular dynamics simulations Scientific agents and autonomous systems Publications: His work includes groundbreaking studies on closed-loop AI systems for chemistry, federated learning in molecular property prediction, and multi-agent systems for drug discovery. Recent highlights include the Robin system and ChemCrow tools. Awards: Recipient of the NSF Career Award (2018), NIH Outstanding Investigator Award (2020), and the Curtis Teaching Award (2019). He also advises biotech companies and serves on the National Academy of Sciences' Chemical Sciences Roundtable. Grants & Funding: Supported by DOE, NSF (multiple grants including CBET-1751471), NIH (R35GM137966), and LLNL projects. Collaborates with institutions like Argonne National Lab and Qubit Pharmaceuticals. Labs & Teams: Leads the White Lab at Rochester and co-founded FutureHouse, a nonprofit advancing AI-driven scientific discovery. Supervises a multidisciplinary team of PhD students and postdocs in computational chemistry, AI, and biophysics.

• Large language models
• Deep learning in chemistry
• Molecular dynamics
• +5 more

Ron Dror is the Cheriton Family Professor of Computer Science at the Stanford Artificial Intelligence Lab , with courtesy appointments in Structural Biology and Molecular & Cellular Physiology . He also holds affiliations with Bio-X, the Institute for Human-Centered Artificial Intelligence (HAI), the Institute for Computational and Mathematical Engineering (ICME), Sarafan ChEM-H, and the Wu Tsai Neurosciences Institute. Education: PhD in Electrical Engineering and Computer Science, MIT MPhil in Biological Sciences, University of Cambridge (Churchill Scholar) BS in Mathematics and Electrical & Computer Engineering, Rice University (summa cum laude) Ron leads a multidisciplinary research group that combines molecular simulation and machine learning to study biomolecular structure, dynamics, and function. His work focuses on developing computational methods to accelerate drug discovery by predicting molecular interactions and designing more effective therapeutics. Current projects include the PENSA software library for analyzing biomolecular ensembles and FRAME framework for structure-based ligand design. His research has produced groundbreaking work on G-protein-coupled receptors (GPCRs) , RNA structure prediction , and mitochondrial transport mechanisms . Key publications highlight applications of geometric deep learning and molecular dynamics simulations in structural biology. Scientific Awards: Cheriton Family Professorship (2023) Two Gordon Bell Prizes (2014, 2009) Best Paper Awards at NeurIPS (2021), IPDPS (2013), SC11 (2011), SC09 (2009), SC06 (2006) Science Magazine Top 10 Breakthrough (2010) Fulbright Scholarship , NSF Fellowship , DoD Fellowship , Whitaker Foundation Fellowship Ron has advised numerous doctoral and master’s students including EJ Fine , Masha Karelina , and Briana Sobecks . His lab collaborates with experimentalists across academia and industry, applying computational methods to diverse biomedical problems such as RNA structure prediction , GPCR signaling , and mitochondrial metabolism .

• Computational Biology
• Machine Learning
• Molecular Dynamics Simulation
• +6 more

Prof. Raffaele Mezzenga is a Full Professor at ETH Zürich's Department of Health Sciences and Technology and Head of the Institute of Food, Nutrition, and Health. He earned his master's from Perugia University (Italy) and a PhD in Polymer Physics from EPFL, followed by postdoctoral work at UC Santa Barbara. His career includes roles at the Nestlé Research Center and the University of Fribourg before joining ETH in 2009. His research focuses on self-assembly processes in polymers, biopolymers, and colloidal systems, with applications in environmental remediation, bioplastics, and biomedical materials. Key contributions include pioneering protein-based materials and advancing understanding of amyloid fibrils. Education: Master's, Materials Science & Engineering, Perugia University PhD, Polymer Physics, EPFL Research Interests: Self-assembly, biopolymers, amyloid materials, sustainable technologies, food colloids, and soft condensed matter. Awards: 2011 AOCS Award, 2017 APS Fellowship, and 2013 Biomacromolecules Young Investigator Award. Visiting Roles: Held visiting professorships at Aalto University, RMIT, Monash University, Nanyang Technological University, and others. Labs/Teams: Leads the Institute of Food, Nutrition, and Health at ETH, focusing on interdisciplinary research in food science and biomaterials. His work bridges fundamental science and applied innovation, addressing global challenges in sustainability and health through materials science. Recent projects include creating bioplastics from food waste, developing amyloid-based water purification systems, and advancing targeted drug delivery via lipidic mesophases.

• Self-Assembly Processes
• Biopolymers
• Protein-Based Materials
• +6 more

Mark Wallace is a Professor of Chemistry at King's College London, affiliated with the Department of Chemistry and the Faculty of Natural, Mathematical & Engineering Sciences. He holds a Royal Society University Research Fellowship (2005–2016) and has been a lecturer at Oxford University before joining King's in 2016. His research focuses on membrane protein function and artificial membrane mimics, combining optical microscopy and nanotechnology. He earned a PhD from the University of Cambridge (2002) and postdoctoral training at Stanford University and the National Institute for Medical Research. Key research interests include membrane protein dynamics, lipid bilayer engineering, and single-molecule imaging. He has pioneered techniques like droplet interface bilayers and interferometric scattering microscopy. His work has led to patents and applications in molecular sensing and medical research. Awards include the 2002 Gregorio Weber Prize and the 2015 RSC Norman Heatley Award. He is actively involved in public outreach, including video podcasts and educational competitions. Recent publications emphasize artificial ion channels, nanoparticle formation monitoring, and mitochondrial protein dynamics. His lab collaborates with institutions like the London Centre for Nanotechnology and the Rosalind Franklin Institute. Over 30 students and researchers have been mentored, with active grants from EPSRC, Wellcome Trust, and BBSRC.

• Membrane Biology
• Biophysics
• Optical Microscopy
• +3 more

Karl Griswold is a Professor of Engineering at Dartmouth College's Thayer School of Engineering, where he leads the Griswold Research Group focused on protein engineering and biotherapeutics development. His interdisciplinary work spans chemical, biological, and engineering disciplines to address critical challenges in drug-resistant infections and protein therapeutics. Education: BS in Chemistry from Southwest Texas State University (1995) PhD in Chemistry from the University of Texas at Austin (2005) Research Focus: Professor Griswold's laboratory specializes in protein engineering, directed evolution, and biotherapeutics development , creating novel biomolecules with superior functionality compared to natural proteins. The group develops high-throughput screening methods, protein deimmunization strategies, enhanced expression systems, and antibacterial agents targeting drug-resistant infections. Their work has significant translational potential for treating conditions like MRSA and Pseudomonas aeruginosa infections. Scientific Recognition: Wallace H. Coulter Foundation Early Career Translational Research Award in Biomedical Engineering (2008) NIH Biotechnology Training Grant (2000-2003) Royston M. Roberts - Regents Fellowship, University of Texas (1999) DOW Chemical Foundation Scholar, Texas State University (1991-1995) Senior Fellow, National Academy of Inventors Research Leadership: As co-founder and CEO of Stealth Biologics, Professor Griswold translates academic research into commercial applications. His work has secured NIH funding and Dartmouth Innovations Accelerator support, with research featured in Chemical & Engineering News, Vermont Public Radio, and the New Hampshire Union Leader for developing alternatives to traditional antibiotics. Research Environment: The Griswold Research Group maintains extensive collaborations across disciplines including clinical medicine, immunology, structural biology, and chemical engineering. This interdisciplinary approach prepares trainees for careers at the intersection of multiple scientific fields, with research focusing on Biomolecular Antimicrobial Therapies, Deimmunizing Protein Therapeutics, and Gene Library Construction Technologies.

• Protein engineering
• Directed evolution
• Biotherapeutics
• +2 more