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Catherine PalmerView profile

Professor

• Audiology
• Hearing Science
• Cognitive Health
• +7 more

Catherine Palmer is Professor and Chair of the Department of Communication Science and Disorders at the University of Pittsburgh School of Health and Rehabilitation Sciences. She also holds a professorship in the Department of Otolaryngology at the School of Medicine and serves as Director of Audiology for the UPMC Integrated Health System. She leads the HEAR Core Lab and directs the Doctor of Audiology (AuD) program. Her leadership spans academic, clinical, and policy domains. Bachelor of Science in Communication Science and Disorders, University of Massachusetts Bachelor of Arts in Multicultural Elementary Education, University of Massachusetts Master of Arts in Audiology and Hearing Impairment, Northwestern University Doctor of Philosophy in Audiology and Hearing Impairment, Northwestern University Her research centers on the relationship between hearing and cognitive health, the impact of hearing loss on health outcomes, and the optimization of hearing technology for individual patients. She investigates how hearing deficits affect decision-making in healthcare and develops models to integrate hearing care into broader medical settings, especially for vulnerable populations. Her recent publications reflect a strong focus on implementation science, healthcare access, and methodological rigor in audiology research. Themes include barriers to hearing healthcare, innovative clinical trial designs, and the integration of hearing screening in oncology and geriatric care. Her work bridges clinical practice, public health, and technology development. Dr. Palmer has received numerous honors for her contributions: Dean’s Distinguished Teaching Award (1999) Provost’s Award for Excellence in Mentoring (2015) American Academy of Audiology Presidential Award (2022) Honors of the Academy, American Academy of Audiology (2023) Wiegand Entrepreneurial Research Award She has advised numerous doctoral students and led national education initiatives, including chairing the University of Pittsburgh Teaching Conference since 2005 and serving on the Audiology Clinical Education Network (ACEN) steering committee. Her research has been funded by NIH, PCORI, Department of Veterans Affairs, Department of Defense, and other major agencies. She is the principal investigator behind the LiDIA (Listening iDentification and Immediate Amplification) technology, supported by the university’s Innovation Institute. Dr. Palmer leads the HEAR Core Lab and is founding the Hearing and Communication Policy Center. She has spearheaded free hearing clinics in Southwestern PA in collaboration with the Eye and Ear Foundation, Schweitzer Fellowship, and Mission of Mercy. She also chairs the AAA Over-the-Counter Hearing Aid Task Force and serves as editor-in-chief of Seminars in Hearing.

Yevgeniy DodisView profile

Professor

• Cryptography
• Leakage-Resilient Cryptography
• Random Number Generation
• +5 more

Yevgeniy Dodis is a Professor at the Courant Institute of Mathematical Sciences , part of New York University , where he leads the Cryptography Group . He is an IACR Fellow (2020) and specializes in Cryptography, particularly focusing on leakage-resilient systems, random number generation, and secure messaging protocols. His research also extends to theoretical computer science areas like algorithms and complexity. He has advised over 14 PhD students and 8 postdoctoral researchers, with current students including Peter Fenteany and Eli Goldin. His professional activities include editing the Journal of Cryptology , organizing conferences like TCC and CRYPTO, and contributing to cryptographic standards like the Signal Protocol implementations. Notable awards include the 2021 IACR Test of Time Award for work on verifiable random functions and the 2019 Test of Time Award for fuzzy extractors. His research has been highlighted in media such as Science Goes to the Movies and DIGITALAX Magazine .

• Infectious Diseases
• HIV/AIDS
• Tuberculosis
• +3 more

Johanna Åhsberg is a Medical Doctor and Visiting Researcher affiliated with the Department of Clinical Research at University of Southern Denmark (Syddansk Universitet), with additional connections to Karolinska Institutet (KI) and Odense University Hospital (OUH) through the Research unit of Infectious Diseases in Odense. Her work bridges clinical practice and academic research with a focus on improving diagnostic pathways for patients with HIV and tuberculosis co-infection. Dr. Åhsberg's research interests center on infectious diseases diagnostics, particularly point-of-care testing strategies for tuberculosis in HIV-positive populations. Her work emphasizes implementation in resource-limited settings, with significant field research conducted in Ghana. She specializes in urine lipoarabinomannan assays and nucleic acid amplification tests as diagnostic tools for tuberculosis, with particular attention to vulnerable populations including severely immunocompromised patients and children. Analysis of her recent publications reveals a consistent focus on diagnostic accuracy, implementation science, and clinical outcomes in tuberculosis/HIV co-infection. Her research employs various methodologies including systematic reviews, prospective cohort studies, and cluster-randomized trials, with increasing sophistication in study design from 2023 to 2025 publications. Her scientific contributions demonstrate strong international collaboration, particularly with researchers in Denmark, Ghana, and other global health institutions. The research has gained attention across multiple platforms including policy documents, social media discussions, and academic readership through Mendeley. Dr. Åhsberg completed her Ph.D. at the University of Southern Denmark's Faculty of Health Sciences with research focused on point-of-care strategies for tuberculosis care among HIV-infected patients in Ghana, establishing the foundation for her ongoing work in this critical area of global infectious disease management.

Jonathan NunezView profile

Associate Professor

• Addiction Medicine
• Health Equity in Medical Education
• Medications for Opioid Use Disorder
• +6 more

Dr. Jonathan Nunez is an Associate Professor in the Division of Infectious Diseases within the Department of Medicine at an academic medical institution. His work spans clinical practice, research, and education with a focus on addressing health disparities in addiction medicine and HIV care. His educational background includes: Infectious Disease Fellowship, University of Pennsylvania Health System (Penn Medicine), completed in 2015 Internal Medicine Residency, Yale-New Haven Medical Center, completed in 2011 MD, University of Connecticut School of Medicine, completed in 2008 Dr. Nunez's research focuses on addiction medicine and health equity in medical education. Specifically, he has academic interests in improving access to medications for opioid use disorder (MOUD), HIV primary care and prevention services. His work contributes to UN Sustainable Development Goals related to health and education. His clinical interests include medical and resident education, HIV primary care and HIV prevention services. His publication record shows significant research output from 2021-2025, with work spanning addiction medicine (particularly buprenorphine treatment protocols), HIV prevention (especially PrEP implementation), advanced diagnostic techniques for HIV, and high-impact meta-analyses on COVID-19 vaccine effectiveness. His research employs diverse methodologies including randomized clinical trials, systematic reviews, and novel diagnostic technology development. Dr. Nunez has garnered significant scholarly attention, with his 2022 meta-analysis on COVID-19 vaccine effectiveness receiving 192 Scopus citations and being referenced in policy sources. His work has been widely disseminated through numerous news outlets and social media platforms, with some publications generating hundreds of mentions across Twitter and other channels.

Jeffrey WallingView profile

Associate Professor

• RF Engineering
• Microwave Engineering
• Circuits Design
• +5 more

Jeffrey Walling is an Associate Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. His research focuses on advanced RF and microwave circuits, including power amplifiers, switched-capacitor architectures, and next-generation communication systems. He holds a mailing address at 453 Whittemore (0111), Blacksburg, VA 24061, and can be reached at jswalling@vt.edu. Walling's work emphasizes innovation in energy-efficient RF systems, with notable contributions to switched-capacitor power amplifiers (SCPA), beamforming techniques, and metamaterial-based designs. His research integrates cutting-edge semiconductor technologies (e.g., FD-SOI, FinFET) and explores applications in biomedical engineering, full-duplex communication, and EV sector policy analysis. His articles span topics like high-Q coplanar waveguides, magnet-less circulators, and ultra-compact inductors using Dirac semimetals. Recent work (2024–2025) highlights advancements in inverse design methods for pixelated surfaces and low-power mm-wave frequency multipliers. He has contributed to IEEE conferences and journals, authoring over 50 publications since 2009. Walling's academic contributions include editorial roles for IEEE publications and involvement in industry-academia partnerships. His research group collaborates on projects funded by federal grants and industry partnerships, though specific grants are unspecified in the provided texts.

Menno van den HoutView profile

Researcher

• Optical Communication
• Multi-Core Fibers
• Space-Division Multiplexing (SDM)
• +4 more

Menno van den Hout is a Postdoc researcher at Eindhoven University of Technology (TU/e) within the Department of Electrical Engineering. He holds a BSc (2017) and MSc (2019, cum laude) in Electrical Engineering from TU/e, with a focus on Electro-Optical Communication. His research emphasizes high-capacity optical transmission systems, including multi-core fibers, space-division multiplexing (SDM), and free-space optical communication. He has contributed to record-breaking transmissions, such as 273.6 Tb/s over 1001 km of 15-mode fiber and 45.7 Tb/s over 12,053 km using multi-core recirculating loops. His work also explores quantum key distribution (CV-QKD), turbulence mitigation in FSO systems, and modal dispersion reduction techniques. He has been involved in projects like SmartTWO and Testbed Setup with ECI, advancing future telecom technologies. Notably, he has received awards for his contributions, including the Corning Outstanding Student Paper Competition Finalist (2025) and Optica Student Paper Award (2022). Research Interests: High-capacity optical transmission systems Multi-core and multi-mode fibers Space-division multiplexing (SDM) Free-space optical communication Quantum key distribution (CV-QKD) Advanced signal processing for fiber optics Awards: Corning Outstanding Student Paper Competition Finalist (2025) Optica Student Paper Award (2022) OECC 2019 Best Paper Award (2019) Grants & Projects: SmartTWO: Maverick Telecom Technologies (2019–2025) Testbed Setup with ECI (2017–2021) Labs & Teams: Member of the Electro-Optical Communication (ECO) group at TU/e, focusing on spectral/spatial agile optical transmission systems.

Hang Joon KimView profile

Professor

• Bayesian Statistics
• Causal Inference
• Statistical Genomics
• +6 more

Hang Joon Kim is a Professor in the Division of Statistics and Data Science within the Department of Mathematical Sciences at the University of Cincinnati's College of Arts and Sciences. He joined the university in 2015 as an Assistant Professor, was promoted to Associate Professor in 2021, and became a full Professor in 2025. His research spans multiple areas of statistics with applications in various scientific domains. Dr. Kim received his educational training from prestigious institutions: Ph.D. in Statistics from The Ohio State University, Columbus, OH M.S. in Applied Statistics from Yonsei University, Seoul, Korea B.A. in Applied Statistics from Yonsei University, Seoul, Korea B.A. in Business from Yonsei University, Seoul, Korea Dr. Kim's research focuses on advanced statistical methodologies with particular emphasis on Semiparametric Bayesian modeling , Causal inference , Meta analysis , Statistical genomics , Missing data , Survey sampling , Data privacy , and Synthetic data generation . His work bridges theoretical statistics with practical applications in biomedical research, official statistics, and data science. He has developed innovative approaches for handling complex data structures while maintaining statistical rigor and practical utility. His recent publications demonstrate a strong trend toward integrating multiple data sources while addressing privacy concerns. The 15 most recent articles show increasing focus on Bayesian methods for causal inference, synthetic data generation for privacy protection, and statistical approaches for genomic studies, reflecting his leadership at the intersection of statistical theory and real-world applications. Dr. Kim has received numerous prestigious awards and honors: Industrial Service Medal of Honor from the President of the Republic of Korea (Sep 2024) A&S Rising Star Award from the College of Arts and Sciences, University of Cincinnati (Apr 2018) Summer at Census Scholar from the U.S. Census Bureau (June 2017) KISS Career Development Award from the Korean International Statistical Society (Aug 2015) American Statistical Association Student Paper Award (Aug 2012) As an advisor, Dr. Kim has successfully mentored multiple PhD students to completion, with graduates securing academic and industry positions. His current research is supported by significant grants including an NSF-funded project on "Robust and efficient Bayesian inference for misspecified and underspecified models" (2024-2027) and a National Research Foundation of Korea project on "Statistically synthetic data generation" (2025-2028). He has served as PI on multiple substantial research projects totaling over $400,000 in funding. Dr. Kim leads research efforts in statistical methodology development, particularly in Bayesian modeling and data privacy. He has developed several R packages including synMicrodata for synthetic data generation, GGPA for genomic analysis, clusterMI for clustering with missing data, and DPImputeCont for imputation of continuous data. His work has practical applications in official statistics, biomedical research, and data science.

• Evolutionary Graph Theory
• Random Processes on Graphs
• Theoretical Computer Science
• +3 more

Josef Tkadlec is an Assistant Professor at the Computer Science Institute of Charles University in Prague. He holds a PhD from IST Austria (supervised by Krish Chatterjee) and an undergraduate degree from Charles University. Previously, he was a postdoctoral fellow at Harvard University's Mathematics Department under Martin A. Nowak. Affiliations: Charles University (current), Harvard University (postdoc), IST Austria (PhD) His research focuses on evolutionary graph theory, random processes on graphs, and geometric/game-theoretical aspects of theoretical computer science. He leads the PRIMUS grant project Evolutionary graph theory: Beyond fixation probability and has contributed to studies on amplifiers of natural selection and network dynamics. Tkadlec is also actively involved in mathematics competitions, proposing problems for international events like the IMO and organizing resources for Czech high-school students. His work bridges evolutionary biology and computer science, addressing questions like fixation probabilities in population structures and coexistence dynamics. Tkadlec's recent publications explore topics such as quasigeodesics in geometric structures, fixation times on directed graphs, and algorithmic approaches to geometric problems. Scientific Awards: Best Paper Award at WALCOM 2021 for research on IMO problem applications. He advises student projects and maintains active collaborations in evolutionary dynamics and discrete mathematics. Tkadlec also contributes to math outreach through competitions, puzzle creation, and educational resources.

William HozaView profile

Assistant Professor

• Computational Complexity Theory
• Pseudorandom Generators
• Derandomization of Algorithms
• +3 more

William Hoza is an Assistant Professor in the Department of Computer Science at the University of Chicago, affiliated with the UChicago CS Theory Group. His research focuses on computational complexity theory, particularly pseudorandom generators, derandomization of space-bounded computation, and circuit complexity. He earned a Ph.D. in Computer Science from the University of Texas at Austin (2021) and a B.S. from the California Institute of Technology (2016). Hoza advises two PhD students, including Zelin Lv (co-advised with Aaron Potechin). He has taught courses such as Introduction to Complexity Theory, Pseudorandomness, and Circuit Complexity. His academic journey includes a postdoctoral fellowship at UC Berkeley's Simons Institute. Hoza's work bridges theoretical computer science and practical algorithm design, with contributions to derandomization techniques and pseudorandom generator constructions. Key contributions include research on hitting sets, branching programs, and the limitations of pseudorandom generators. His publications span venues like FOCS, STOC, and ITCS, addressing foundational questions in computational complexity.

• Cybersecurity
• Blockchain Technology
• IoT Security
• +4 more

Dalibor Radovanović is an academic affiliated with Singidunum University, where he holds the position of Professor. His academic journey includes a doctoral dissertation from Singidunum University (2016) and postgraduate studies at the Faculty of Business Informatics. He has contributed extensively to cybersecurity, blockchain, IoT, and IT governance research. His research focuses on cybersecurity challenges in IoT and blockchain applications, smart card security, and e-business safety. He has authored/co-authored over 50 publications including books on Internet marketing and technical journals. Notable works include analysis of blockchain in healthcare IoT (2022), IoT security in industrial markets (2022), and evolutionary algorithms for environmental performance (2019). Radovanović's work spans academic conferences such as Sinteza, FINIZ, and IEEE events. His contributions address both theoretical and practical aspects of IT security, digital transformation in Serbian businesses, and data protection mechanisms. He has advised on virtualization bottlenecks, penetration testing for wireless networks, and cryptographic tool development for education. He has collaborated with institutions like the European Journal of Applied Economics and contributed to projects analyzing Serbia's investment advantages (2015) and mobile banking impact (2016). His research often bridges technical innovation with real-world business applications.

• Sarcoma Research
• Medical Oncology
• Thyroid Cancer
• +4 more

Hari Deshpande is an Associate Professor of Medicine in the Section of Medical Oncology at Yale School of Medicine. He specializes in treating sarcomas, thyroid cancers, and cancers of unknown primary. As Clinical Research Team Leader for Sarcoma and Director of the Medical Oncology Inpatient Consult Service, he focuses on advancing clinical trials and multidisciplinary care. Dr. Deshpande holds leadership roles in the Sarcoma Program and collaborates with surgical oncologists, radiologists, and pathologists to improve treatment options for rare cancers like desmoid tumors and liposarcoma. Education: MD from Leeds University (1991), BS from Leeds University (1988), followed by residency and fellowship training at Albert Einstein College of Medicine, Montefiore Medical Center, and other institutions. Research Interests: Dr. Deshpande’s work centers on sarcoma biology, novel therapeutic approaches in thyroid cancer, and optimizing clinical trial designs for rare malignancies. His research emphasizes translational studies and collaboration across disciplines to address treatment challenges in rare tumors. Recent efforts include Phase II trials for dedifferentiated liposarcoma and medullary thyroid carcinoma. Publications Trends: His articles focus on clinical trials for rare cancers, treatment outcomes, and adverse event management. Key areas include sorafenib for desmoid tumors, trametinib for epithelioid hemangioendothelioma, and regorafenib for thyroid cancers. He also addresses quality-of-care topics like consult service efficacy and post-discharge follow-up. Scientific Awards: He has received multiple David S Fischer Teaching Awards (2022, 2018, 2011), a Compassionate Caregiver Award (2015), and the Davidoff Teaching Award (1995). Advising & Grants: While no students are listed, his grants support sarcoma and thyroid cancer research. He leads clinical trials at Yale Cancer Center and collaborates with industry partners like Blueprint Medicines and Exelixis. Labs/Teams: Active in the Sarcoma Disease Aligned Research Team (DART) and works with multidisciplinary tumor boards at Smilow Cancer Hospital to advance personalized treatment strategies.

• Immunobiology of Infectious Disease
• Tropical Infectious Disease Research
• Host-Pathogen Interactions
• +5 more

Nancy Gore Saravia, PhD, MSc, is an Adjunct Professor in the Department of Epidemiology of Microbial Diseases at Yale School of Public Health. As Scientific Director of CIDEIM in Colombia, she leads research on tropical infectious diseases with a focus on Leishmania interactions. Education: PhD (1978) - Vanderbilt University MSc (1972) - Johns Hopkins University School of Public Health Post-Doc (1978) - University of Wisconsin, Madison Her research explores: Host-parasite dynamics in leishmaniasis Mechanisms of drug resistance Development of rapid diagnostics Immuno-pharmacokinetics of antiparasitic agents Capacity building in low-income tropical regions mHealth applications for disease monitoring Recent publications address: 2024: Drug resistance mechanisms in Leishmania strains 2023: mHealth implementation for rural leishmaniasis management 2022: Clinical trial of pentoxifylline for cutaneous leishmaniasis 2021: Synergy between azole drugs and miltefosine 2020: Immuno-pharmacokinetics of antimonial compounds Scientific awards include: Bailey K. Ashford Medal (1993) Alejandro Angel Escobar Prize (1994) Ben Kean Medal (2013) Moselio Schaechter Distinguished Service Award (2013) Scopus Citation Award (2009) She has collaborated with Yale faculty since 2003 on NIH-funded projects (R01, ICIDR, Fogarty Training Grants) and served as WHO Collaborating Center Director for Leishmaniasis. Her work bridges laboratory research with community implementation through CIDEIM's Latin American Research Training Center.

Josh AlmanView profile

Assistant Professor

• Algorithm Design
• Complexity Theory
• Matrix Multiplication
• +4 more

Josh Alman is an Assistant Professor of Computer Science at Columbia University, affiliated with the Theory Group. His research focuses on algorithm design, complexity theory, and algebraic methods in computer science. Previously, he was a Rabin Postdoc in Theoretical Computer Science at Harvard University (2020–2023), and completed his PhD in Computer Science at MIT (2016–2019), advised by Ryan Williams and Virginia Vassilevska Williams. His work bridges foundational questions in algorithms and complexity, with notable contributions to matrix multiplication, lower bounds, and applications of algebraic tools. He advises PhD students at Columbia, including Hengjie Zhang, Kevin Yeo, and Hantao Yu. His notable awards include the Best Paper Award at SOSA 2023, the Machtey Award for Best Student Paper at FOCS 2019, and the Best Student Paper Award at CCC 2019. Alman’s research interests span theoretical computer science, with a focus on algebraic and combinatorial approaches to problems in algorithms, complexity, and machine learning. His recent work explores the limits of fast algorithms for fundamental tasks (e.g., matrix multiplication, kernel density estimation) and their implications for broader computational models. Education PhD in Computer Science, MIT (2019), advised by Ryan Williams and Virginia Vassilevska Williams M.S./B.S. in Computer Science, Stanford University (2014–2016) Key Research Themes Lower bounds for arithmetic circuits and matrix rigidity Algebraic methods for algorithm design Fine-grained complexity and its applications Machine learning theory and attention mechanisms

• Clinical Neurology
• Neurodegenerative Diseases
• Amyotrophic Lateral Sclerosis (ALS)
• +10 more

Professor Nigel Leigh is a Professor (Honorary Consultant) in Clinical Neurology at Brighton and Sussex Medical School, University of Sussex. He is a leading expert in clinical neuroscience, with a focus on neurodegenerative disorders such as amyotrophic lateral sclerosis (ALS), progressive supranuclear palsy (PSP), and corticobasal syndrome (CBS). MB BS, PhD – University of London, United Kingdom, 1970 Fellow of the Academy of Medical Sciences (FMedSci) – 2003 His research spans clinical neurology, neuroimaging, biomarker discovery, and neuroinflammation. He investigates the pathophysiology of motor neuron diseases and atypical parkinsonian syndromes, aiming to improve diagnosis, prognosis, and treatment. His work integrates advanced imaging techniques, genetic analysis, and fluid biomarkers to understand disease mechanisms and progression. The recent publications highlight a strong focus on α-synuclein seed amplification assays for Parkinson’s and atypical parkinsonism, neurofilament light as a prognostic marker, neuroimaging of atrophy patterns, and immunomodulatory therapies like low-dose IL-2 in ALS. His research frequently employs longitudinal cohort studies, clinical trials, and multi-omics approaches, reflecting a translational neuroscience strategy. Scientific Awards: Fellow of the Academy of Medical Sciences (FMedSci), 2003 Professor Leigh has been a principal investigator on numerous research grants, including the MIROCALS trial on low-dose IL-2 for ALS, funded by the Motor Neurone Disease Association and the European Union. He has also led projects on non-coding RNA biomarkers, neuroimaging in MND, and the creation of national DNA repositories, supported by the Wellcome Trust and Medical Research Council. While no students are listed, his collaborations span multiple institutions and involve large multi-center studies. He is actively involved in building research infrastructure, including the Sussex Motor Neurone Disease Care and Research Network and the London Brain Bank. His work continues to shape clinical trial design and biomarker development in neurodegenerative diseases.

Jack W. SzostakView profile

Professor

• Molecular Biology
• Genetics
• Telomere Biology
• +12 more

Jack W. Szostak is a University Professor in the Department of Genetics at the University of Chicago and an Investigator at the Howard Hughes Medical Institute. Previously, he was a long-standing professor at Harvard Medical School and Massachusetts General Hospital. He was awarded the 2009 Nobel Prize in Physiology or Medicine for his groundbreaking work on telomeres and telomerase, conducted in collaboration with Elizabeth Blackburn and Carol W. Greider. He earned his B.Sc. in Cell Biology from McGill University and his Ph.D. in Biochemistry from Cornell University. His early research focused on yeast genetics, recombination, and telomere biology, laying the foundation for understanding cellular aging and cancer. He later pioneered in vitro selection methods to evolve functional RNA and proteins, contributing significantly to the RNA world hypothesis. His current research centers on the origin of life, particularly the development of self-replicating protocells. His lab explores prebiotic chemistry, membrane biophysics, and non-enzymatic genetic replication, aiming to reconstruct the transition from chemistry to biology. His work integrates synthetic biology, systems chemistry, and evolutionary biochemistry. Analysis of his recent publications reveals a strong focus on prebiotic nucleotide synthesis, template-directed RNA copying, protocell growth and division, and the engineering of self-replicating systems. His research consistently bridges molecular biology, chemistry, and evolutionary theory to address fundamental questions about life’s origins. Nobel Prize in Physiology or Medicine (2009) Albert Lasker Award for Basic Medical Research (1998) Canada Gairdner International Award (2005) Elected to the National Academy of Sciences (1998) Howard Hughes Medical Institute Investigator (1998–2022) Szostak has mentored numerous prominent scientists, including Jennifer Doudna, Andrew Murray, and David Bartel. His lab has been supported by HHMI funding and has produced transformative work across genetics, RNA biology, and origins of life research. He co-founded a biotechnology startup to translate evolved proteins into therapeutic applications, one of which is now in clinical trials. He leads an active research laboratory focused on building synthetic protocells capable of growth, division, and evolution. His team investigates fatty acid membranes, nucleotide chemistry, and coupled replication systems, operating at the intersection of chemistry, biology, and engineering.