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Cristina AntonescuView profile

Researcher

• Molecular Pathology
• Cancer Genetics
• Genomic Research
• +3 more

Cristina R. Antonescu, MD is the Director of Soft Tissue and Bone Pathology at Memorial Sloan Kettering Cancer Center , affiliated with the Gerstner Sloan Kettering Graduate School of Biomedical Sciences. Her research focuses on the genomic investigation of pediatric and young adult mesenchymal tumors , particularly Novel gene fusion discovery Translocation-associated sarcoma pathogenesis CRISPR-Cas9 engineered models Molecular characterization of kinase fusions Her publications from 2018-2020 highlight breakthroughs in undifferentiated sarcomas , epithelioid hemangioendothelioma , and lipofibromatosis-like neural tumors , revealing key relationships between genetic drivers and clinical outcomes. Research grants include SPORE in Soft Tissue Sarcoma (2018-2023) and Cycle for Survival funding (2018-2021). Contact: antonesc@mskcc.org | Office: 212-639-5721

Naim U. RashidView profile

Associate Professor

• Precision medicine
• Genomics
• Statistical computing
• +7 more

Naim U. Rashid, PhD, is an Associate Professor with tenure in the Department of Biostatistics at the UNC Gillings School of Global Public Health and holds a joint appointment as Research Associate Professor at the Lineberger Comprehensive Cancer Center. He serves as Associate Director of the Lineberger Biostatistics Shared Resource and co-directs the Biostatistics Cores of the UNC Pancreatic and Breast Cancer SPOREs. His work bridges statistical methodology development with collaborative cancer research, focusing on translating genomic discoveries into clinical applications. Dr. Rashid's research spans precision medicine, genomics, statistical computing, and machine learning with specific applications to pancreatic and breast cancers. His lab develops novel statistical methods for high-throughput genomic data analysis, cancer subtyping, missing data problems in deep learning, and clinical trial design. Recent work includes developing an AI tool that recommends optimal clinical trials to pancreatic cancer patients, funded by a $311,000 Department of Defense grant in 2024. His methodological contributions focus on improving replicability in gene signature selection and clinical prediction, with emphasis on addressing racial disparities in cancer outcomes. His publication record shows consistent output in top statistical and medical journals, with recent work focusing on high-dimensional statistics, missing data methods, and cancer genomics. His research demonstrates a clear trajectory from methodological innovation to clinical implementation, particularly in pancreatic cancer where his PurIST classifier has gained recognition. The work increasingly incorporates machine learning approaches while maintaining strong statistical foundations. Delta Omega Faculty Award (2021, UNC Chapel Hill) IBM and R.J. Reynolds Junior Faculty Development Award (2017, UNC Chapel Hill) Barry H. Margolin Dissertation Award (2013, UNC Chapel Hill) Training Grant recipient (2006-2011, Genomics and Cancer) Dr. Rashid actively mentors graduate students and serves as trial statistician on multiple cancer clinical trials. He teaches BIOS 735, a doctoral-level course on statistical computing, and is involved with the Translational Breast Cancer Research Consortium Statistical Working Group. His lab collaborates extensively with clinicians at UNC Lineberger and beyond, with recent work including the PROCLAIM Study examining mHealth apps to improve diverse recruitment in pancreatic cancer trials. The Rashid Lab focuses on developing computational tools that directly impact clinical decision-making while addressing methodological challenges in genomic data analysis.

• Mechanobiology
• Cellular Biophysics
• Cancer Biology
• +3 more

Xavier Trepat is an ICREA Research Professor and Group Leader at the Institute for Bioengineering of Catalonia (IBEC), affiliated with the University of Barcelona. His academic journey includes a BSc in Physics (2000), a BSc in Engineering (2001), and a PhD in Medical Sciences (2004) from the University of Barcelona. He conducted postdoctoral research at Harvard University and later held positions at the University of Barcelona and IBEC, becoming an ICREA Research Professor in 2011. His research focuses on mechanobiology, integrating physics and biology to study cellular and tissue dynamics. Key areas include cytoskeletal mechanics, collective cell migration, cancer metastasis, and organoid engineering. He has pioneered techniques like traction force microscopy and microfluidic platforms (e.g., MIRO chip) to model tumor-stroma interactions. Recent work highlights include uncovering mechanical signaling pathways (YAP/TAZ-TEAD), the role of nuclear mechanics in cancer, and the development of 3D tissue models. His studies on durotaxis and collective cell migration have advanced understanding of how cells sense and respond to mechanical cues. Collaborations span institutions like Harvard, MIT, and leading research centers globally.

Valentina BoevaView profile

Assistant Professor

• Machine Learning
• Bioinformatics
• Genomics
• +3 more

Prof. Valentina Boeva is an Assistant Professor at the Department of Computer Science, ETH Zürich, specializing in biomedical informatics. Her research focuses on integrating machine learning and computational methods to address challenges in genomics, oncology, and precision medicine. She holds a position in the Professur für Biomedizininformatik (Biomedical Informatics) and is based at CAB G32.2, Universitätstrasse 6, Zürich, Switzerland. Her work emphasizes applications such as cancer biomarker discovery, tumor heterogeneity analysis, and epigenetic profiling. She teaches courses including Machine Learning Seminar, Data Science Lab, and Machine Learning for Genomics. Her research group develops computational tools like CDState and UniversalEPI to decode complex biological systems. She actively publishes in top-tier journals, with recent work on exosome-driven diagnostics and chromatin interaction modeling. Her scientific contributions span methodologies for single-cell data analysis, survival modeling, and drug response prediction. She collaborates across disciplines to bridge computational science with clinical applications in cancer research.

Wei PangView profile

Professor

• Machine Learning
• Artificial Intelligence
• Data Mining
• +7 more

Wei Pang is a Professor of Computer Science and Bicentennial Research Leader at the School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh. He leads the BCML Lab and is affiliated with the Edinburgh Centre for Robotics and National Robotarium. His expertise spans bio-inspired computing, machine learning, and AI applications in healthcare, robotics, and sustainability. Pang holds a PhD in Computing Science from the University of Aberdeen, with prior roles including Senior Lecturer at the University of Aberdeen and research fellowships in systems biology. Affiliations: Heriot-Watt University, Edinburgh Centre for Robotics, National Robotarium Education: PhD in Computing Science (2009), MEng (by research), BSc (Jilin University, China) Research Interests: Bio-inspired computing (e.g., artificial immune systems, swarm intelligence), machine learning (deep learning, explainable AI), healthcare applications (medical imaging, disease detection), and interdisciplinary projects in robotics and environmental science. His work addresses challenges in robust AI, fairness, and accountable machine learning. Recent Projects: EPSRC-funded RAIns and MI projects, CRUK-funded Endo.AI, and PRIME project on minority ethnic communities' digital experiences. His research has secured over £10M in grants, including £3.5M institutional funding. Awards: Scottish Crucible Award (2015), ADMA Best Paper Runner-Up (2016), EPSRC PRIME Award (2024) Grants/Advising: Supervised 12 PhD completions; contributed to £10M+ external funding. Labs/Teams: BCML Lab (focusing on bio-inspired AI), collaborations with Oxford, Cambridge, and industrial partners like Weather2 and Data2Text.

Carlos MolinaView profile

Professor

• Cancer Research
• Biology of Reproduction
• Molecular Biology
• +4 more

Dr. Carlos Molina is a Professor of Molecular Biology at Montclair State University’s College of Sciences and Mathematics. Previously, he served as an Assistant Professor at Rutgers Medical School’s Department of Obstetrics, Gynecology, and Women’s Health (1994–2006). He holds a B.S. in Biology from the University of Puerto Rico, M.S. and Ph.D. in Biochemistry from Purdue University, and postdoctoral training at the University of Louis Pasteur (France). His research focuses on cancer mechanisms involving tumor suppression proteins in skin cancer cells and ovarian-specific transgenic zebrafish models for ovulation studies. These efforts aim to develop therapeutic agents and reproductive technologies. Dr. Molina has secured grants from the National Institutes of Health, National Science Foundation, and American Association of Cancer Research. He served on NIH study sections for Heart/Lung/Blood Institute and Defense Department Ovarian/Prostate Cancer initiatives. Office hours are consistently held Tuesdays and Thursdays 3:30–5:00 PM via Zoom.

Olga VitekView profile

Professor

• Statistical Science
• Machine Learning
• Mass Spectrometry
• +5 more

Olga Vitek is a Professor at Northeastern University's Khoury College of Computer Sciences, with affiliated faculty status in the Department of Chemistry and Chemical Biology. Her research bridges statistical science and machine learning with mass spectrometry-based proteomics and systems biology, focusing on developing open-source software tools like MSstats and Cardinal for quantitative proteomic analyses and imaging. Education: PhD in Statistics (Purdue University), Postdoc at the Ruedi Aebersold Lab (Institute for Systems Biology) Leadership: Director of the Barnett Institute for Chemical and Biological Analysis Her work emphasizes: Statistical experimental design Signal detection in complex mass spectrometry data Causal inference in biomolecular networks Reproducible computational infrastructure Recent publications highlight advancements in quantitative proteomics , mass spectrometry imaging , and causal modeling , with applications spanning cancer research, immunology, and clinical diagnostics. Notable trends include deep learning integration for image analysis and open-source tool development for scalable, transparent workflows. Scientific accolades: Elected Fellow of the American Statistical Association 2021 Gilbert S. Omenn Computational Proteomics Award NSF CAREER award Chan-Zuckerberg Essential Open-source Software award Senior Member, International Society for Computational Biology

• Stem Cell Biology
• Cardiovascular Medicine
• Tissue Engineering
• +5 more

Yibing Qyang is a Professor of Medicine (Cardiovascular Medicine) at Yale University School of Medicine (YSM), affiliated with the Department of Internal Medicine. He serves as Director of the Yale Stem Cell Research Forum since 2010. His expertise spans stem cell biology, cardiovascular disease modeling, and regenerative medicine. Qyang holds a B.S. from Nanjing University, an M.S. from Chinese Academy of Sciences, and a Ph.D. from the University of Texas M.D. Anderson Cancer Center. He completed postdoctoral training at UC San Diego and Harvard Medical School. Research Interests: The Qyang Lab focuses on engineering vascular tissues using induced pluripotent stem cells (iPSCs), elucidating cardiovascular disease mechanisms, and developing therapeutic strategies. Key areas include: Vascular tissue engineering for graft development Stem cell-derived models of diseases like supravalvular aortic stenosis Cardiac progenitor cell therapies for heart repair Biomechanical signaling in hypertrophic cardiomyopathy Preclinical porcine models for translational research Key Achievements: Developed immunocompatible 'universal donor' vascular grafts using CRISPR-engineered iPSCs Pioneered iPSC-derived vascular smooth muscle and endothelial cells for tissue engineering Identified elastin-based therapies for supravalvular aortic stenosis Grants & Awards: Connecticut Stem Cell Program Established Investigator Awards (2011, 2015) ISSCR Membership (2007–Present) Highlighted in Yale News for groundbreaking discoveries in heart disease and vascular grafts Lab Team & Collaborations: The lab includes researchers and students from institutions worldwide, with collaborations at Harvard, UCSD, and Yale’s Cardiovascular Research Center. Projects span iPSC differentiation, biomechanical modeling, and preclinical trials. Future Directions: Expanding studies on universal donor grafts, cardiac tissue engineering, and clinical translation of iPSC-derived therapies.

Nadya DimitrovaView profile

Assistant Professor

• Long Non-Coding RNAs
• Cancer Biology
• Molecular Biology
• +3 more

Nadya Dimitrova is an Assistant Professor in the Department of Molecular, Cellular, and Developmental Biology at Yale University, affiliated with the Yale School of Medicine. She holds secondary appointments in Genetics and is a member of multiple interdisciplinary centers, including the Center for RNA Science and Medicine. Her research focuses on long non-coding RNAs (lncRNAs) and their roles in cancer biology, particularly in tumor suppression and oncogenesis. Dimitrova earned her Sc.B. in Biochemistry from Brown University (2002), a Ph.D. from The Rockefeller University (2009), and completed postdoctoral training at MIT's Koch Institute. Notable awards include the HHMI Predoctoral Fellowship, Damon Runyon Postdoctoral Fellowship, and the 2023 Yale Cancer Center Class of '61 Award. Her lab explores lncRNA mechanisms using genomic and genetic tools, aiming to uncover their roles in cancer pathways. Recent work highlights lncRNAs' roles in metastasis, cardiac hypertrophy, and p53 signaling. Collaborations with researchers like Antariksh Tyagi and Clara Liao drive translational insights into RNA-based therapies. Education: Sc.B., Brown University (2002); Ph.D., The Rockefeller University (2009). Research interests include lncRNA regulation, cancer transcriptomics, and RNA-driven disease mechanisms. Her lab integrates systems biology approaches to dissect lncRNA functions in health and disease.

Annemie BogaertsView profile

Professor

• Plasma Technology
• Gas Discharge Plasmas
• Plasma-Surface Interactions
• +6 more

Annemie Bogaerts is a Full Professor at the University of Antwerp since 2014 and head of the PLASMANT research group , which she established independently after her supervisor's retirement. The group now has 37 members including 2 professors, 15 postdocs, 18 PhD students, and 2 technical coworkers. Academic Career: Lecturer (2004-2007), Senior Lecturer (2008-2011), Francqui Distinguished Research Professor (2013-2016), Full Professor (2012-now) Current Leadership Roles: Chair of Department of Chemistry, Head of PLASMANT group Research Focus : Computer modeling of plasmas, plasma-surface interactions, plasma catalysis for CO 2 conversion into value-added chemicals. Her work combines experimental and computational approaches to develop sustainable plasma-based chemical processes. Scientific Achievements : Over 400 peer-reviewed publications (H-index 52 in Web of Science, 64 in Google Scholar) 11,000+ citations (16,000+ in Google Scholar) 20+ major scientific awards including: Winter Plasma Award 2009 for laser ablation modeling Lester W. Strock Award 2008 for plasma/surface modeling Academia Europaea member since 2011 Koninklijke Vlaamse Academie member since 2012 Academic Service : Editor of Spectrochimica Acta Part B , guest editor for 10 special issues including 'Plasma & Cancer', Chair of International Symposium on Plasma Chemistry (2015), and active in university governance through multiple commissions.

Yi David JuView profile

Research Fellow

• Nanotechnology
• mRNA Therapeutics
• Lipid Nanoparticle Formulation
• +4 more

Dr. Yi David Ju is a Senior Research Fellow at RMIT University's School of Science and an ARC DECRA Fellow at La Trobe University's School of Cancer Medicine. He leads the Nanomedicine and Gene Therapeutics Laboratory at the Olivia Newton-John Cancer Research Institute (ONJCRI) and holds Honorary Fellowships at the University of Melbourne's Department of Microbiology & Immunology and Chemical Engineering. PhD from University of Melbourne (2017, Frank Caruso) 2017–2021 : Research Fellow at University of Melbourne 2021 : Vice-Chancellor’s Postdoctoral Fellow at RMIT 2023 : Visiting Researcher at University of Manchester's Nanomedicine Lab His research focuses on Bio-Nano Interactions , particularly Nanoparticle-Immune System dynamics, Lipid Nanoparticle Engineering for mRNA Delivery , and Poly(ethylene glycol) Alternatives . Key contributions include stealth nanoparticles for prolonged circulation, anti-PEG antibody dynamics in vaccine development, and patient-specific targeting models for chronic lymphocytic leukemia . Recent publications analyze hybrid immuno-PET-MRI probes for inflammation monitoring, zwitterionic PEG nanoparticles for reduced immunogenicity, and RAFT polymer-based LNPs for enhanced gene delivery . His work also explores supramolecular DNA-polyphenol assemblies and metal-phenolic coatings for controlled drug release . Scientific Awards ： 2023 ACIS ECR Lectureship Finalist, 2023 ACS Nano Impact Award 2022&2023 RMIT Enabling Capability Platform Funding 2021 CBNS Most Significant Publication Award 2020 CBNS Career Development Award 2019 Outstanding Postdoctoral Researcher Award 2019 Nanoscale Advances Oral Prize 2017 Reviewer Excellence Award for Chemistry of Materials 2014 Best Tutor Award Professional Roles ： Associate Editor, Journal of Materials Science Committee Member, Royal Australian Chemical Institute (Victorian Branch) Active Member, Australasian Colloid and Interface Society

Catherine E. CostelloView profile

Professor

• Biopolymer Structural Studies
• Mass Spectrometry Method Development
• Glycobiology
• +3 more

Catherine E. Costello is the William Fairfield Warren Distinguished Professor and Director of the Center for Biomedical Mass Spectrometry Education at Boston University School of Medicine. She holds a PhD and MS from Georgetown University. Her research focuses on biopolymer structural studies and mass spectrometry method development, particularly in glycobiology. Her lab is an NIH-funded Resource Center advancing glycan characterization and structural analysis. Key research interests include carbohydrate conjugate analysis, glycoproteomics, and applications in disease mechanisms like cancer, infection, and immune response. Collaborations span institutions globally, addressing complex biomolecules and their roles in health and disease. Recent publications highlight advancements in glycoproteomic characterization, ion mobility spectrometry, and glycan identification. Awards include the distinguished professor title. Lab members include postdoctoral associates, research staff, and visiting scientists from institutions like MGH and Nutricia Research.

Jonathan HugginsView profile

Assistant Professor

• Machine Learning
• Bayesian Computation
• Statistical Genetics
• +3 more

Jonathan Huggins is an Assistant Professor at Boston University, affiliated with the Department of Mathematics & Statistics and the Faculty of Computing & Data Sciences. He holds a Ph.D. in Computer Science from MIT (2018) and a B.A. in Mathematics from Columbia University (2012). His research focuses on developing fast, trustworthy machine learning and Bayesian methods that balance computational efficiency and statistical optimality, with applications in ecological forecasting and genomic data analysis. Education: Ph.D. in Computer Science, Massachusetts Institute of Technology (2018) B.A. in Mathematics, Columbia University (2012) Research Interests: Large-scale machine learning and Bayesian computation Robust statistical inference Applications in genomics and ecological modeling Algorithmic development for scalable inference Key Projects: Stochastic Methods for Data Science: A book on stochastic processes and algorithms VIABEL: A Python package for variational inference and diagnostics ShorTeX: A LaTeX package for mathematical writing Recent Articles: Focus on scalable Bayesian methods, error bounds for iterative algorithms, and mutational signature discovery. His work emphasizes reproducibility and robustness in statistical inference. Awards: Blackwell–Rosenbluth Award (Outstanding Junior Bayesian Researcher) Grants & Funding: Supported by NIH, NSF, and the Department of Defense. Active in advising students across multiple BU programs. Labs/Teams: Affiliated with the BU URBAN Program, Program in Bioinformatics, and Department of Computer Science.

Debanjan SarkarView profile

Associate Professor

• Biomaterials
• Cell Biology
• Regenerative Medicine
• +4 more

Debanjan Sarkar is an Associate Professor of Teaching and Director of Undergraduate Studies in the Department of Biomedical Engineering at the School of Engineering and Applied Sciences, University at Buffalo. He is also affiliated with the Jacob's School of Medicine and Biomedical Sciences, where his full profile can be found. His research focuses on biomaterials and regenerative therapeutics, particularly exploring how engineered materials interact with cells to regulate growth, differentiation, and repair processes. Debanjan holds a PhD and has conducted extensive research in cell-substrate interactions, stem cell fate control, and mechanomorphological guidance of colloidal gels. His work integrates polymer chemistry with biomedical applications, emphasizing biodegradable elastomers, hydrogels, and extracellular matrix mimics for regenerative medicine and tissue engineering. Key research themes include drug delivery systems using novel biomaterials, mechanobiology of endothelial cells, and the design of tunable materials to direct cell behavior. His studies span from fundamental material characterization to translational applications in dentistry and vascular repair. Debanjan leads the Biomaterials and Regenerative Therapeutics Lab, which develops innovative materials to address clinical challenges in tissue regeneration. While no formal advisees are listed, his educational role underscores his commitment to undergraduate training in biomedical engineering principles and practices.

• Gynecologic Oncology
• Cancer Immunotherapy
• Tumor Immunology
• +7 more

Dr. Alessandro D. Santin is a Professor at the Yale School of Medicine within the Department of Obstetrics, Gynecology & Reproductive Sciences . He serves as Clinical Research Team Leader for Gynecologic Oncology at the Yale Cancer Center and co-chief of the Section of Gynecologic Oncology. Graduated magna cum laude from the University of Brescia, Italy Completed fellowships at the University of California, Irvine and University of Arkansas for Medical Sciences Dr. Santin's research bridges tumor immunology and translational oncology, focusing on: Immunotherapy for chemotherapy-resistant gynecologic cancers Therapeutic HPV vaccines for genital tumors Monoclonal antibody development Angiogenesis and radiation biology His recent publications highlight advancements in: VEGF/VEGFR2 system targeting for ovarian cancer Personalized medicine approaches with biomarkers Microsatellite instability in endometrial cancer immunotherapy Antibody-drug conjugates for uterine serous carcinoma NAC supplementation in post-COVID gynecologic patients Scientific Awards: American Association young investigator award Italian Society of Gynecologic Oncologists award for translational science Dr. Santin's lab (Laboratory for Surgery, Obstetrics & Gynecology) at Yale collaborates extensively, with 50+ postdoctoral fellows mentored. Current grants include NIH funding for Clostridium Perfringens Enterotoxin as a novel ovarian cancer therapy and leadership in multiple Gynecologic Oncology Group trials.