جستجوی استاد راهنمای دانشگاهی

Yu Jingمشاهده پروفایل

مدرس ارشد

• Subsurface rock characterization
• Fluid flow in porous media
• Pore-scale characterization
• +۷ مورد دیگر

Dr. Yu Jing is a Scientia Senior Lecturer in the School of Minerals and Energy Resources Engineering at the University of New South Wales (UNSW). She holds a PhD in Petroleum Engineering from UNSW and specializes in characterizing subsurface formation rocks to understand underground fluid flow behaviors including natural gas, oil, and groundwater. Education: Doctor of Philosophy, Petroleum Engineering, University of New South Wales, Australia Master of Engineering, Petroleum Engineering, University of New South Wales, Australia Bachelor of Engineering, Petroleum Engineering, Southwest Petroleum University, China Dr. Jing's research focuses on pore-scale characterization of rocks using micro-CT imaging and modeling multiphysics flow transport in underground formations. Her work spans digital core analysis, fractured formation rock characterization, flow simulation of underground fluids, and micro-CT imaging techniques. She has developed computational tools like DigiCoal for coal core characterization. Her publication portfolio shows a strong trend toward advanced imaging techniques for understanding coal properties, particularly related to carbon sequestration, coalbed methane extraction, and fluid flow in fractured media. Recent work emphasizes multiscale modeling approaches and experimental validation of transport phenomena in porous media. Scientific Awards: Asian-Australian Leadership Award Finalist in Education, Science & Medicine (2024) The Rising Stars, Asian Deans' Forum (2023) Equity & Diversity Excellence Award - UNSW (2020) Future Women Leaders Conference Award - UNSW (2019) Scientia Fellowship - UNSW (2019) Dr. Jing actively supervises numerous PhD students working on diverse topics from CO2 geosequestration to critical metal recovery. She has secured significant research funding including ARC Research Hub for Fire Resilience Infrastructure ($4.9 million), UNSW-Chinese Academy of Sciences Collaboration Grant, and multiple ANSTO Australian Synchrotron Beamtime grants. Her professional engagement includes serving as Associate Editor for the Journal of Energy Engineering and as Communication Officer for the InterPore Australian Chapter. She leads research activities through the MUTRIS research group (www.mutris.unsw.edu.au), focusing on digital core analysis, fractured media characterization, and subsurface flow simulation. Her work bridges fundamental research with practical applications in energy transition and sustainable resource extraction.

Justin Meyerمشاهده پروفایل

استاد

• Evolutionary Biology
• Microbial Ecology
• Viral Evolution
• +۷ مورد دیگر

Justin Meyer is a Professor and Vice Chair in the Department of Ecology, Behavior & Evolution at the University of California San Diego (UCSD), where he leads the Meyer Lab focused on experimental microbial ecology and evolution. His research bridges theoretical evolutionary biology with practical applications in phage therapy and synthetic biology, using bacteriophage lambda as a key model system. Dr. Meyer received his Ph.D. from Michigan State University and was a Systems Biology Departmental Fellow at Harvard Medical School, where he was awarded the James S. McDonnell Foundation Fellowship for Studying Complex Systems. He joined the UCSD faculty in 2014, establishing his research program at the intersection of evolutionary theory and microbial systems. Meyer's research spans several interconnected areas in evolutionary biology. His lab investigates fundamental questions about speciation, novelty, evolvability, and complexity using microbial experimental systems. Through innovative approaches combining trackable microbial platforms and synthetic biology, his team generates new datasets to test evolutionary and ecological theories that were previously untestable. A key focus is understanding how bacteriophage λ evolves to exploit alternative receptors, providing critical insights into host-pathogen interactions and the mechanisms of evolutionary innovation. Analysis of Meyer's recent publications (2021-2024) reveals a strong emphasis on the molecular mechanisms of viral evolution, particularly how protein instability and phenotypic heterogeneity drive host-range expansion. His work increasingly integrates theoretical models with experimental approaches to understand fitness landscape deformations during coevolution. The research has significant implications for developing more robust phage therapeutics through "evolutionary training" protocols that pre-evolve bacteriophages to counter bacterial resistance. Scientific recognition includes: James S. McDonnell Foundation Fellowship for Studying Complex Systems Systems Biology Departmental Fellowship at Harvard Medical School Meyer actively mentors the next generation of scientists through his lab at UCSD. His team includes postdoctoral researchers, PhD students, and undergraduate researchers working collaboratively on projects spanning from basic evolutionary questions to applied phage therapy development. His lab has secured funding supporting research on coevolutionary dynamics, viral speciation, and the development of synthetic phage platforms for removing antibiotic resistance genes from microbiomes. The Meyer Lab operates from the Muir Biology Building at UCSD, maintaining active collaborations with researchers across disciplines including synthetic biology, microbiology, and medical researchers developing novel antimicrobial therapies. The lab's work on "evolutionary training" of bacteriophages and gene drive technologies represents a unique integration of theoretical evolutionary biology with practical therapeutic applications.

Dirk Peschkaمشاهده پروفایل

پژوهشگر

• Partial Differential Equations
• Fluid Dynamics
• Materials Science
• +۷ مورد دیگر

Dr. Dirk Peschka is a researcher at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, Germany, where he contributes to the Partial Differential Equations Research Group (FG1) . He is affiliated with the Berlin Mathematics Research Center MATH+ , the Society for Applied Mathematics and Mechanics (GAMM) , and the German Physical Society (DPG) . Research Interests Mathematical modeling of fluid dynamics and materials science using partial differential equations (PDEs). Applications in thin film dynamics, semiconductor devices, and reactive multiphase flows. Development of gradient flow frameworks and thermomechanical models via GENERIC formalism. Analysis of contact line behavior, dewetting processes, and fluid-structure interaction. Numerical methods for semiconductor simulations and geoscience applications. Publications Trends His recent work (2022–2025) emphasizes energy-based modeling of thin films, reactive flows, and semiconductor degradation. Key themes include contact line dynamics, gradient flows, and multiscale analysis of materials and fluid systems. Memberships Weierstrass Institute for Applied Analysis and Stochastics (WIAS) Berlin Mathematics Research Center MATH+ Society for Applied Mathematics and Mechanics (GAMM) German Physical Society (DPG)

Christopher Brunsdonمشاهده پروفایل

استاد

• Spatial Statistics
• Data Science
• Spatial Analysis
• +۳ مورد دیگر

Christopher Brunsdon is Professor of Geocomputation and Director of the National Centre for Geocomputation at Maynooth University's Faculty of Social Sciences. Previously, he held positions at the University of Liverpool, Leicester, Glamorgan, and Newcastle. His academic credentials include a BSc in Mathematics from Durham University and an MSc in Medical Statistics and PhD in Geography from Newcastle University. Research interests focus on spatial statistics, data science, and spatial analysis, with emphasis on open-source software (especially R) and reproducible methods. Applied domains include crime pattern analysis, health geography, and environmental applications. Current projects include 'Mapping Lineages: Quantifying the Evolution of Maps of the British Isles' and 'Building city dashboards'. Brunsdon's recent publications (2018-2020) demonstrate strong methodological contributions to geocomputation, spatial regression, and geodemographics. Trends include reproducibility in spatial science, multiscale modeling, and applications in health geography and urban analytics. He leads the National Centre for Geocomputation, fostering innovation in spatial data science. Grant leadership includes an ERC Advanced Grant (RIGAR) and industry collaborations like consultancy for SiteZeus.

Sergey Karabasovمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Aeroacoustics
• Aerodynamics
• +۵ مورد دیگر

Professor Sergey Karabasov is a leading academic in computational modeling and aeroacoustics at Queen Mary University of London’s School of Engineering and Materials Science . As Director of the Centre for Intelligent Transport , he bridges aerospace engineering with environmental technology and bioengineering. Education: PhD (1999, Moscow State University), DSc (2010, Keldysh Institute) Affiliations: Fellow of the Royal Aeronautical Society (FRAeS), Fellow of the Higher Education Academy (FHEA), Associate Fellow of AIAA (AFAIAA) Research Interests span multiscale fluid dynamics, computational aeroacoustics, and high-performance computing. His work addresses: Future Mobility: Noise reduction in urban air mobility and conventional aircraft Environmental Technologies: Turbulence modeling for renewable energy and climate systems Digital Twins: Physics-based and data-driven simulations for aerospace and bioengineering Article Trends focus on: Hybrid LES-acoustic models for jet noise Multiscale methods in nanofluidics and molecular systems GPU-accelerated algorithms (e.g., CABARET) for complex flows Climate dynamics (Southern Ocean jets, Chandler wobble) Scientific Awards include: Fellowships at Royal Aeronautical Society and Higher Education Academy Associate Fellowship at AIAA Guest Editor for Royal Society Phil.Trans. A theme issues (2014, 2019) Advising includes current PhD student Hussain Ali Abid and alumni working on: Jet noise optimization Graphene suspension rheology Hybrid molecular-continuum simulations Labs & Teams involve the Centre for Intelligent Transport , GPU-Prime.Ltd consultancy, and collaborations with institutions like Cambridge University and Keldysh Institute.

Wanqing Shenمشاهده پروفایل

دانشیار

• Mechanics of Materials
• Civil Engineering
• Micromechanics
• +۷ مورد دیگر

Wanqing Shen is an active Associate Professor (Maître de Conférences-HDR) at the Polytechnic School of Lille, University of Lille, specializing in Civil Engineering within the Department of Civil Engineering. They hold an accreditation to supervise research (HDR) and are affiliated with UMR 9013 - Laboratory of Multiphysics Multiscale Mechanics. 2018: Habilitation à diriger des recherches (HDR), "Nonlinear behavior of heterogeneous porous materials", University of Lille 2011: Ph.D., "Micro-macro modeling of mechanical behavior for ductile porous materials: application to the Callovo-Oxfordian argillite", University of Lille 2008: Master in Civil Engineering, University of Lille Professor Shen's research focuses on the mechanical behavior of heterogeneous porous materials, with expertise in micromechanics, multiscale modeling, and Thermo-Hydro-Chemo-Mechanical coupling in geomaterials. Their work bridges theoretical mechanics with practical civil engineering applications, particularly in understanding rock and soil behavior through advanced numerical methods and constitutive modeling. The research has significant implications for underground engineering and geological material analysis. Shen serves as Associate Editor for "AI & Materials" and as Academic Editor for "Deep Underground Science and Engineering", while also contributing to the editorial boards of "Rock Mechanics Bulletin" and the Early Career Editorial Board of "Deep Underground Science and Engineering". These roles reflect their standing in the mechanics and civil engineering research community. Prize of Excellent Scientific Research and Supervision (2021) Prize of Excellent Scientific Research and Supervision (2017) Chinese Government Award For Outstanding Self-Financed Students Abroad (2011) Allocations de Recherche du Ministère de l'Enseignement Supérieur et de la Recherche (2008) As an educator, Shen has served as Pedagogical Head and Head of Engineer Project for GC5 since 2020, and previously for GC3 (2015-2019). They teach advanced courses including Micromechanics (Master 2), Constitutive Laws (Master 1), and various engineering mechanics courses. From 2020-2022, they co-led the GEOM research group (Multiphysics Couplings and Multiscale Approaches in Geomaterials) within LaMcube, demonstrating active leadership in their research community.

Federico Javier Hernándezمشاهده پروفایل

مدرس

• Computational Chemistry
• Photochemistry
• Photophysics
• +۵ مورد دیگر

Dr. Federico Javier Hernández serves as a Lecturer in Computational Chemistry at the Centre for Chemical Research within the School of Physical and Chemical Sciences at Queen Mary University of London. His expertise centers on computational photochemistry and photophysics, with emphasis on excited-state mechanisms in complex molecular environments including aggregates, organic crystals, and solution-phase systems. Hernández completed his undergraduate studies in Physical Chemistry at the University of Córdoba (UC), Argentina, followed by a hybrid experimental and theoretical-computational PhD in Chemistry jointly awarded by UC and the University of Quilmes under Professors Gustavo Pino and Juliana Palma. His doctoral research investigated photophysical and photochemical processes relevant to Atmospheric Chemistry and Biochemistry. His laboratory focuses on elucidating fundamental mechanisms behind phenomena such as aggregation-induced emission, radiative quenching, singlet fission, ultralong organic phosphorescence, charge/exciton transport, and thermally activated delayed fluorescence. These investigations employ advanced computational methodologies including plane-wave DFT, multiscale electronic structure methods (QM:QM' and QM:MM), nonadiabatic dynamics simulations (surface hopping and Ehrenfest dynamics), and machine learning integration for materials discovery. This work directly supports rational design of functional molecules for optoelectronic applications and energy storage/conversion technologies. Analysis of Hernández's 15 most recent publications (2022-2025) reveals consistent focus on nonadiabatic dynamics in condensed phases, excited-state mechanisms in molecular aggregates, and atmospheric reaction kinetics. Key trends include development of computational benchmarks for photochemical processes, application of machine learning to photodynamics, and investigation of polaritonic effects in vibrational spectroscopy. His work bridges theoretical chemistry with practical materials design for optoelectronics. No major scientific awards or fellowships are documented in the available information. While current PhD advisees are not listed, Hernández maintains an active research group within the Centre for Chemical Research. His collaborative network spans international institutions including University College London, University of Bristol, and University of Santiago de Chile. He contributes to academic instruction through CHE 209 – Introductory Programming for Chemists and leverages his ORCID profile (https://orcid.org/0000-0001-7497-9424) for scholarly identification. His research infrastructure integrates high-performance computing with data science approaches to tackle complex photochemical problems.

• Biomedical Imaging
• Developmental Biology
• Optical Microscopy
• +۵ مورد دیگر

Jan Huisken is a Professor at the University of Göttingen, Germany, holding the Alexander von Humboldt Professorship since October 2021. He remains an affiliate of the Morgridge Institute for Research in Madison, Wisconsin, where he served as Director of Morgridge Medical Engineering since 2016. Previously, he was a Visiting Professor in the Department of Integrative Biology (2010-2017) and a Research Group Leader at the Max Planck Institute of Molecular Cell Biology and Genetics (2005-2009). His educational background includes: PhD in Physics, University of Freiburg (conducted at EMBL-Heidelberg) Postdoctoral work at EMBL-Heidelberg (2000-2004) Postdoctoral work at UCSF (2004-2005) Dr. Huisken's research focuses on developing noninvasive biomedical imaging techniques, particularly optical microscopy, to study developmental processes in living organisms. His lab specializes in organogenesis in zebrafish, with emphasis on the cardiovascular system and endoderm. He pioneers quantitative microscopy tools including selective plane illumination microscopy (SPIM) and high-speed fluorescence microscopy to capture cellular dynamics during organ formation. His publication portfolio reveals a dominant trend in advancing light-sheet microscopy for multiscale embryonic imaging, with recurring applications in cardiovascular dynamics, endoderm formation, and vascular growth. This work consistently bridges physics and biology, creating custom microscopes that solve fundamental biological problems through interdisciplinary collaboration. His notable scientific achievement is: Alexander von Humboldt Professorship Dr. Huisken leads an interdisciplinary laboratory where biologists and physicists jointly develop cutting-edge microscopy instrumentation and immediately apply it to biological discovery. The lab operates across the full experimental spectrum from transgenic model systems and optical engineering to computational image analysis, fostering a unique environment where technological innovation directly drives biological insight.

Auroop Ratan Gangulyمشاهده پروفایل

استاد

• Climate Extremes
• Water Sustainability
• Infrastructure Resilience
• +۱۳ مورد دیگر

Auroop Ratan Ganguly is a Professor of Civil and Environmental Engineering at Northeastern University's College of Engineering , with affiliate appointments in the Khoury College of Computer Science and School of Public Policy and Urban Affairs. He serves as Director of the Sustainability and Data Sciences (SDS) Laboratory and Co-Director of the Global Resilience Institute at Northeastern, while holding a joint appointment as Chief Scientist at Pacific Northwest National Laboratory (PNNL). PhD in Civil and Environmental Engineering, MIT (2002) MS in Civil Engineering, University of Toledo (1997) B.Tech (Hons.) in Civil Engineering, IIT Kharagpur (1993) His research bridges Climate Extremes & Water Sustainability with Infrastructure Resilience and Hybrid Physics-AI Systems . Key contributions include novel methods for climate extremes under global warming, network science applications to infrastructure resilience, and physics-integrated machine learning for weather and hydrology. His work has been cited in UN and US National Climate Assessments, with media coverage in New York Times , Nature , and AGU publications. Recent articles focus on AI for Climate Risk (2025), Nonlinear Dynamics (2025), and Carbon Cycle Extremes (2025). His lab develops Explainable AI tools for climate adaptation and environmental justice. Fellow, American Society of Civil Engineers Distinguished Member, ACM (2023) Outstanding Mentoring Awards, Oak Ridge National Laboratory Best Paper Awards, SIAM Data Mining (2011) and IEEE (2017) As an advisor, he has mentored PhD students like Evan Kodra and Kate Duffy , who co-founded climate startups including risQ (acquired by ICE/NYSE) and Zeus AI . His leadership roles include co-chairing NCAR's Societal Dimensions Working Group and serving on the editorial boards of Scientific Reports and Frontiers in Water .

Nicholas Kotovمشاهده پروفایل

استاد

• Nanomaterials
• Nanomedicine
• Self-assembly
• +۵ مورد دیگر

Nicholas Kotov serves as the Joseph B. and Florence V. Cejka Professor of Chemical Engineering at the University of Michigan with joint appointments in Biomedical Engineering, Materials Science & Engineering, and Macromolecular Science & Engineering within the College of Engineering. His research laboratories are housed at the North Campus Research Complex (NCRC) in Ann Arbor, where he directs cutting-edge work at the intersection of nanotechnology and biomedicine. His academic foundation includes: M.S. in Chemistry from Moscow State University (1987) Ph.D. in Chemistry from Moscow State University (1990) Professor Kotov's research program centers on nanostructured materials for biological and medical applications, with particular emphasis on chiral nanomaterials and self-organizing colloidal systems. His group pioneers biomimetic approaches to material design, drawing inspiration from natural hierarchical structures. Current investigations focus on chiral quantum magnets, aramid nanofiber composites, and graph-theoretical frameworks for nanomaterial design. Recent publications demonstrate strong integration of machine learning with experimental nanofabrication, yielding breakthroughs in energy storage, biosensing, and optical devices with applications ranging from SARS-CoV-2 antivirals to terahertz radiation detection. Scientific Recognition: No major awards explicitly documented in source materials He mentors graduate researchers including Ji Young Kim and Terry Shyu, with projects spanning nanomedicine, energy storage, and advanced manufacturing. His lab maintains active industry partnerships and international collaborations, notably in African materials science capacity building. Current funding supports development of chiral optical devices, biomimetic scaffolds for tissue regeneration, and next-generation battery technologies. The Kotov Lab operates specialized facilities at NCRC B26-102S and 108S for nanomaterial synthesis, cryogenic electron tomography, and chiroptical characterization. Research teams integrate chemical engineering, materials science, and biomedical principles to create functional nanosystems with precise structural control.

Philip Bittihnمشاهده پروفایل

پژوهشگر ارشد

• Nonlinear Dynamics
• Biological Physics
• Active Matter
• +۶ مورد دیگر

Dr. Philip Bittihn serves as Group Leader and Scientist at the Max Planck Institute for Dynamics and Self-Organization in Göttingen, Germany, heading the Emergent Dynamics in Living Systems research group within the Department of Living Matter Physics. His work bridges physics and biology to decipher complex emergent behaviors in biological systems through innovative interdisciplinary approaches. His research spans nonlinear dynamics in biological systems , initially focusing on cardiac arrhythmia mechanisms where he identified novel termination strategies for life-threatening rhythms through topological defect analysis. Current work centers on growth-driven phenomena in cellular active matter , investigating mechanical interactions, expansion flows, orientational order, and shape development coupled with gene regulation and metabolism. He employs reaction-diffusion modeling, synthetic biology, and microfluidic experimentation to study pattern formation in microbial colonies and cardiac tissue. Analysis of recent publications reveals a dominant trend toward active matter physics in multicellular systems , particularly geometry-induced nematic order, phase separation in proliferating matter, and nutrient-mediated antibiotic responses. His group consistently explores how non-equilibrium growth processes generate complex patterns, with increasing emphasis on mechanical stress anisotropy and motility-induced transitions in confined cellular environments. The Emergent Dynamics in Living Systems group operates at the physics-biology interface, utilizing genetically engineered E. coli models (as demonstrated in their Nature Microbiology 2020 work on oscillating growth patterns), advanced microfluidic chambers, and computational frameworks to investigate fundamental principles of biological organization with potential biomedical applications.

Kenneth M. Goldenمشاهده پروفایل

استاد

• Sea Ice Dynamics
• Climate Modeling
• Composite Materials
• +۱۰ مورد دیگر

Kenneth M. Golden is a Professor of Mathematics and Adjunct Professor of Biomedical Engineering at the University of Utah , where he applies mathematical physics to model sea ice dynamics and its role in Earth's climate system. His work intersects composite materials , statistical physics , and climate modeling , informed by 18 polar expeditions. Research Interests : Golden's work bridges geophysics and mathematical modeling , focusing on transport phenomena in sea ice, homogenization of multiscale systems, and ecological impacts of ice microstructure. His methodologies span percolation theory , fractal geometry , and machine learning . Publications Trends : Golden's recent work explores convection-driven thermal transport , uncertainty quantification in ecological models, and self-organizing melt pond networks . These studies highlight the interplay between microstructure and macroscopic behavior in natural composites. Scientific Awards : Calvin S. and JeNeal N. Hatch Prize in Teaching, 2023 Inaugural Presidential Societal Impact Scholar Award, 2022 Grants & Collaborations : Funded by the National Science Foundation (NSF) since 1984, Golden collaborates with oceanographers, biologists, and engineers. His fieldwork in the Arctic and Antarctic informs next-generation climate models and sensing technologies .

• Cancer Biology
• Developmental Biology
• Melanoma Research
• +۳ مورد دیگر

Richard White is a Professor of Genetics at the University of Oxford , affiliated with Exeter College . His research focuses on leveraging zebrafish models to dissect fundamental mechanisms of cancer biology , particularly melanoma, by integrating genetic tools and advanced imaging techniques . Clinical background in oncology Developed the transparent casper zebrafish strain for tumor imaging Investigates developmental programs co-opted by cancer cells Explores interactions between cancer cells and microenvironment White's work examines how neural crest developmental programs influence melanoma progression, including oncogene response, anatomical positioning effects, and metastasis mechanisms driven by adipocytes and lipid signaling. His recent publications highlight phenotypic plasticity in melanoma and computational tools like BayesTME for spatial transcriptomics analysis. Key research themes: Role of tumor microenvironment in cancer progression Developmental biology parallels in melanoma Imaging and genetic manipulation of cancer ecosystems Therapeutic targeting of microenvironment interactions

Jan Egedalمشاهده پروفایل

استاد

• Plasma Physics
• Magnetic Reconnection
• Space Weather
• +۳ مورد دیگر

Jan Egedal is a Professor in the Department of Physics at the University of Wisconsin-Madison, affiliated with the College of Letters & Science. His research focuses on plasma physics, magnetic reconnection, and space weather phenomena. Key research areas: Plasma Physics, Magnetic Reconnection, Space Weather, Astrophysical Plasmas, Particle Acceleration, Solar Wind Dynamics Recent work involves analyzing magnetic reconnection in laboratory and space plasmas using the Terrestrial Reconnection Experiment (TREX) and NASA's Magnetospheric Multiscale (MMS) mission. Studies emphasize electron/ion dynamics, pressure anisotropy, and energy conversion mechanisms. Current projects include the Wisconsin HTS Axisymmetric Mirror (WHAM) fusion experiment and investigations into drift-cyclotron instabilities. Publications highlight advancements in understanding reconnection diffusion regions, magnetic pumping for particle acceleration, and applications to space weather prediction. The Seven Sisters mission concept aims to improve solar wind measurements for space weather forecasting. Jan Egedal's research is conducted at the Wisconsin Plasma Physics Laboratory, where experiments and kinetic simulations (e.g., Cylindrical VPIC) explore fundamental plasma processes in magnetotail, bow shock, and fusion-relevant environments.

• Structural Biology
• Computational Biology
• Molecular Biophysics
• +۴ مورد دیگر

Bojan Zagrovic is a Professor at the Department of Structural and Computational Biology , University of Vienna. His research focuses on the interplay between protein structure, RNA interactions, and molecular dynamics, particularly in phase separation, enzyme mechanisms, and disease-related mutations. Key research areas: Structural Biology, Computational Biophysics, RNA-Protein Interactions, Phase Separation, and Protein Aggregation. Recent work includes studying FUS RGG3 phase separation, α-mannosidase pathophysiology, and SPOC domain interactions. His publications span molecular dynamics simulations, RNA modifications (e.g., N6-methyladenosine), and structural insights into ciliary proteins like CFAP410. He teaches courses in computational structural biology, molecular biophysics, and quantitative biology.