Find Academic Supervisors

• Leukemia
• Drug Resistance
• Cell Signaling
• +6 more

Maria R. Baer, MD, is Professor of Medicine and Molecular Medicine at the University of Maryland School of Medicine. She serves as Director of Hematologic Malignancies and Co-Leader of the Experimental Therapeutics Program at the University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center. B.A., Harvard University M.D., Johns Hopkins University School of Medicine Residency and Fellowship, Vanderbilt University Research Focus: Dr. Baer's research centers on drug resistance mechanisms and signal transduction in acute myeloid leukemia (AML) with FLT3 internal tandem duplication (FLT3-ITD). Her work includes preclinical and clinical studies targeting FLT3 and Pim kinases, DNA damage responses, and oxidative stress in AML. Article Trends: Her publications highlight FLT3-ITD as a therapeutic target, explore kinase inhibition strategies, and address chromosomal abnormalities in relapsed AML. Key themes include drug resistance, combination therapies, and molecular pathways like STAT5 and Mcl-1 degradation. Stand Up to Cancer Epigenetics Dream Team Funded by National Cancer Institute, Leukemia and Lymphoma Society, and Department of Veterans Affairs Mentoring: Dr. Baer has a long track record of mentoring students, residents, postdoctoral fellows, and junior faculty in hematologic malignancies research. Labs & Teams: She leads a laboratory at the University of Maryland Greenebaum Cancer Center, collaborating with the CALGB/Alliance for Clinical Trials in Oncology Leukemia Core Committees.

Paul LeonardView profile

Associate Professor

• Biomolecular Interaction Analysis
• Single-Cell Analysis
• Biologics Discovery
• +6 more

Assoc. Prof. Paul Leonard is an Associate Professor in Biotherapeutics at Dublin City University (DCU), leading the Biomedical Innovation Group (BIG) within the School of Biotechnology. His research focuses on biomolecular interaction analysis, single-cell technologies, and biologics discovery, addressing challenges in oncology, cardiovascular disease, and infectious disease diagnostics. He has 20+ years of academic and industry experience, co-founding Remedy Biologics Ltd and securing over €15M in funding. His entrepreneurial roles include CSO/CTO, Lean Six Sigma process improvements, and advisory work for life sciences companies. Research interests span high-throughput antibody discovery, immunoassay development, and environmental sensing. He collaborates with academia and industry, including projects like AquaBioSens for aquatic pollutant detection. His lab employs multidisciplinary teams and holds patents in biotechnology. Paul also serves as an external examiner for Technical University Dublin’s Biomedical Diagnostics program. Key achievements include technology spin-outs, patent filings, and leadership in EU-funded projects. His work bridges academic innovation with commercial applications, emphasizing rapid diagnostic tools and therapeutic advancements.

Sachi HoribataView profile

Assistant Professor

• Cancer Biology
• Drug Discovery
• Computational Genomics
• +3 more

Sachi Horibata is an Assistant Professor in the Department of Pharmacology & Toxicology at Michigan State University (MSU), affiliated with the College of Human Medicine. She is also associated with the Precision Health Program and the Neuroscience Program. Her research focuses on cancer biology, drug discovery, and computational genomics, with a particular emphasis on understanding mechanisms of drug resistance in cancers like acute myeloid leukemia (AML) and breast cancer. Dr. Horibata’s work integrates proteomics, transcriptomics, and cellular models to uncover therapeutic targets and biomarkers. She holds a PhD in Biological and Biomedical Sciences from Cornell University (2010–2016). Her research interests include genomic analysis of cancer heterogeneity, enzyme-driven cancer progression (e.g., PAD enzymes), and immune evasion mechanisms in tumors. Her recent studies highlight the role of protein citrullination in cancer cell migration and endocrine resistance. Dr. Horibata’s publications span topics in oncology, immunology, and molecular biology, with a focus on translational research. She teaches PHM 802: Cellular, Molecular and Integrated Systems Pharmacology. Her lab is located in the Interdisciplinary Science and Technology Building at MSU.

G. Petur NielsenView profile

Professor

• Bone and Soft Tissue Pathology
• Molecular Genetics of Bone Tumors
• Chordoma Research
• +5 more

G. Petur Nielsen, MD is a Professor of Pathology at Harvard Medical School and serves as Subspecialty Head, Bone and Soft Tissue Pathology at Massachusetts General Hospital . With a clinical focus on bone and soft tissue tumors, his expertise spans diagnostic pathology, molecular genetics of neoplasms, and ancillary testing applications. Research interests center on Pathology and biology of bone/soft tissue tumors Molecular genetics of bone and soft tissue neoplasms Chordoma and sarcoma research Epithelioid vascular tumor differentiation Mesenchymal tumors of the female genital tract His work includes landmark studies on tumor misdiagnosis rates, immunohistochemical profiling, and genomic analysis of chordomas. Scientific contributions appear in leading journals like Nature and American Journal of Surgical Pathology , with major emphasis on Molecular tumor classification Mutational signature analysis Translational oncology Diagnostic accuracy improvement Genomic instability mechanisms

Ken DuffyView profile

Professor

• Network Coding
• Algorithms
• Probability and Statistics
• +3 more

Ken Duffy is a Professor and Chair of the Department of Mathematics at Northeastern University, with a joint appointment in the Department of Electrical and Computer Engineering. He joined Northeastern in 2023 and previously served as Interim Chair of the latter department. Previously, he was a professor at the National University of Ireland, Maynooth, where he directed the Hamilton Institute (2016–2022) and co-directed the Science Foundation Ireland Centre for Research Training in Foundations of Data Science. He earned a PhD in Mathematics from Trinity College Dublin. His research focuses on collaborative, multi-disciplinary algorithm design using probability and statistics, with applications in digital circuits, DNA, and network coding. Notable contributions include the Royal Statistical Society’s Applied Probability Section (co-founded in 2011) and numerous award-winning papers in IEEE conferences and journals. Recent work emphasizes decoding algorithms like GRAND (Guessing Random Additive Noise Decoding), applied to error correction, wireless systems, and biomedical imaging. His articles address topics like soft-output decoding, interference mitigation, and cellular lineage tracing. Awards: Best Paper Awards (IEEE ICC 2015, IEEE TNSE 2019), COMSNETS Best Demo (2022–2023), and the IEEE Ellersick Award (2024). Advising: The SFI Centre he co-directed funded over 120 PhD students. Labs/Teams: Hamilton Institute, Royal Statistical Society’s Applied Probability Section, and collaborative projects in cellular dynamics and secure communication.

Sean EhlmanView profile

Assistant Professor

• Evolutionary Behavioral Ecology
• Phenotypic Plasticity
• Behavioral Individuality
• +3 more

Sean Ehlman is an Assistant Professor in the Department of Biological Sciences at the University of South Carolina's McCausland College of Arts and Sciences. He leads the Ehlman Lab, which focuses on evolutionary behavioral ecology using integrated lab, field, and theoretical approaches. His research examines how ecological and evolutionary processes shape animal behavior development, with specific interests in: Phenotypic plasticity in response to environmental changes Origins and maintenance of behavioral individuality Aquatic ecosystem dynamics using Poeciliid fish models Application of tracking technology and AI in behavioral mapping Recent publications (2023-2024) demonstrate his interdisciplinary approach, combining behavioral ecology with data science to study: Developmental impacts of predator exposure Reproductive individuality in controlled environments Genotype-phenotype relationships in evolution Big data applications in behavioral research

Kate LaskowskiView profile

Associate Professor

• Behavioral Ecology
• Evolutionary Biology
• Animal Behavior
• +4 more

Kate Laskowski is an Associate Professor in the Department of Evolution and Ecology at University of California, Davis , focusing on behavioral diversity and plasticity. Her research explores how evolutionary processes shape developmental mechanisms generating individual variation. Education: B.S. in Biological Sciences (2006, UMBC), Ph.D. in Integrative Biology (2013, University of Illinois) Her work integrates ultimate and proximate perspectives to analyze how genetic, parental, and experiential cues build phenotypes. Recent research emphasizes clonal fish models to study non-genetic origins of behavior, eco-evolutionary dynamics, and collective behavior across scales. Publications from 2023-2025 highlight themes in behavioral repeatability , predation risk responses , genetic life-history trade-offs , and social conformity vs. individuality . Her methods combine experimental studies with statistical modeling and meta-analytic frameworks. Scientific Awards: Sloan Fellow (2023) Kate collaborates with the Center for Population Biology and advises in the Animal Behavior and Population Biology graduate programs. Her lab investigates behavioral individuality in clonal systems, with applications to conservation and evolutionary theory.

Howard J. MeyersonView profile

Professor

• Hematopathology
• Flow Cytometry
• Hematopoietic Neoplasms
• +3 more

Howard J. Meyerson is a Professor in the Department of Pathology at Case Western Reserve University's School of Medicine. He serves as a member of the Immune Oncology Program at the Case Comprehensive Cancer Center. His primary roles include Program Director of Hematopathology and Director of Flow Cytometry at University Hospitals Cleveland Medical Center. Research focuses on hematopoietic neoplasms classification, flow cytometric analysis, and immune cell subset evaluation in disorders and therapies. Key collaborations involve high-resolution phenotypic analysis techniques and amplification staining for neoplasm evaluation. Publications emphasize hematologic malignancies, flow cytometry advancements, and immunological mechanisms in blood disorders. Notable works include studies on FLT3-ITD detection in AML, B-ALL diagnostic markers, and clonal cytopenia characterization. Education : MD degree from Case Western Reserve University Professional activities include leadership in clinical pathology training programs and diagnostic laboratory management. Active in collaborative research on immune cell dynamics and therapeutic intervention analysis. Labs/Teams: Leads flow cytometry core facilities and participates in multi-institutional studies on hematologic malignancies.

• Immunodeficiency Diseases
• Actin Cytoskeleton Regulation
• Immune System Dynamics
• +5 more

Lisa Westerberg is a Professor of Experimental Immunology at Karolinska Institutet's Department of Microbiology, Tumor and Cell Biology. Her research focuses on understanding how defects in actin cytoskeleton regulation lead to immunodeficiencies, autoimmunity, and hematological malignancies. She leads a team studying primary immunodeficiency diseases such as Wiskott-Aldrich Syndrome (WAS) and X-linked neutropenia (XLN), investigating molecular mechanisms underlying immune cell dysfunction. Education: PhD in Cell and Molecular Biology (Karolinska Institutet, 2003), postdoctoral training at Harvard Medical School (2009). Appointed Professor in 2024 after prior roles as Associate Professor (2013) and Assistant Professor (2009). Research interests include nuclear actin regulation in immune cells, clonal evolution in pediatric lymphomas, and space-induced immune changes. Her lab combines molecular biology, microscopy, and in vivo models to develop therapies targeting actin regulators. Awards: Ragnar Söderberg Fellowship, ERC Starting Grant (2019), Swedish Research Council grants. Collaborates internationally on space immunology via ESA experiments. Supervises PhD students in B cell biology and immune signaling. Labs/Teams: Immunodeficiency Diseases Group at MTC, WASPSTINGS network coordinator. Active in translational research bridging primary immunodeficiencies and cancer therapy.

• Pediatric Oncology
• Neurogenetics
• Molecular Pathology
• +3 more

Casmir Turnquist is a Research Fellow at the Nuffield Department of Clinical Neurosciences, University of Oxford, with concurrent roles as an NIHR Academic Clinical Fellow and Specialty Registrar in Histopathology at OUH NHS Foundation Trust. His work bridges clinical practice and research in pediatric brain/spine cancers and neurodegenerative pathologies. BA, MSc, BM BCh, DPhil His research investigates fusion-driven cancers in young patients using long-read sequencing and single-cell genomics, alongside studying neurotoxicity from cancer therapies through spatial transcriptomics and developmental neuroscience perspectives. Recent work includes characterizing CLIPPERS inflammatory disorders and SLONM myopathy. Publications demonstrate expertise in CNS tumors, inflammatory pathologies, and digital pathology implementation, with methodological focus on genomic heterogeneity and precision diagnostics. NIH Director's Innovation Award Supervises DPhil students Hannah Brooks and Claire Lewis, maintaining collaborations with Oxford Brain Bank and NIH institutions while advancing translational research in neuro-oncology and neuropathology.

Huazhong ShiView profile

Professor

• Biochemistry
• Molecular Biology
• Gene Editing
• +3 more

Dr. Huazhong Shi is a Professor in the Department of Chemistry and Biochemistry at Texas Tech University. His research focuses on molecular biology, biochemistry, and plant stress response mechanisms, with a particular emphasis on gene editing for crop improvement, herbicide resistance development, and computational simulations of protein-small molecule interactions. Ph.D., Wuhan University, China, 1995 Research Associate, University of Arizona, 1999-2001 Research Associate, University of California, 2001-2003 Research Associate, Purdue University, 2003-2004 Dr. Shi’s research explores gene editing strategies to enhance crop traits such as clonal seed production, haploid induction, and herbicide resistance. His lab also investigates molecular dynamics simulations to understand enzyme-herbicide interactions and stress-inducible gene regulation. Key projects include engineering salt-tolerant crops via Na+/H+ antiporter optimization and elucidating the roles of SHI genes in stress response pathways. The 15 most recent publications highlight advancements in gene editing for hybrid vigor preservation, directed evolution of herbicide-resistant enzymes, and computational modeling of stress tolerance mechanisms. These works span disciplines including plant biotechnology, environmental toxicology, and agricultural sustainability, with subfields such as RNA splicing, redox biology, and nutrient-stress interactions. Dr. Shi’s lab includes graduate students Yihui Yuan, Hongjia Qian, Amna Aqdas, Karthik Kalvakuntla, and Shoumik Kundu, alongside research associate Dr. Jianfei Guo. His work contributes to global food security through biotechnological innovations in crop resilience to environmental stresses.

• Artificial Intelligence
• Biomedical Informatics
• Machine Learning
• +5 more

Mehmet Eren Ahsen is an Assistant Professor at the University of Illinois at Urbana-Champaign, holding dual appointments in Business Administration and Biomedical and Translational Sciences . He is also the Deloitte Scholar in Accountancy and an affiliate at the Carl R. Woese Institute for Genomic Biology. His research bridges artificial intelligence, healthcare analytics, and biomedical informatics, focusing on applications in medical decision-making, disease diagnosis, and drug development. Key research interests include: AI-driven healthcare workflows, particularly in mammography screening and radiology Machine learning for biomarker discovery and genomic analysis Economics of AI adoption in clinical settings Unsupervised ensemble learning for biomedical problems His work has been recognized by the CHITA Young Researcher Award (2024) . Notable collaborations involve interdisciplinary teams addressing challenges in cancer genomics, supply chain resilience, and pandemic response. Recent studies highlight: Economic impact of AI-human task sharing in mammography Optimizing screening mammography recall strategies Analysis of social media's role in pandemic information dissemination Development of ensemble models for disease prediction Dr. Ahsen's research also explores: Extracellular vesicle RNA signatures for early cancer detection Correlated drug action models for combination therapies Algorithmic fairness in healthcare AI systems His lab integrates computational methods with clinical and genomic data to advance precision medicine and healthcare efficiency.

Low Jun SiongView profile

Assistant Professor

• Immunology
• Cancer Biology
• Infectious Diseases
• +4 more

Assistant Professor Low Jun Siong is affiliated with the Department of Microbiology and Immunology at the National University of Singapore (NUS), under the Yong Loo Lin School of Medicine. His research focuses on understanding T and B cell biology in the context of infection, cancer, and autoimmunity. He collaborates with clinical partners to characterize immune cell responses in patient cohorts and explores strategies to manipulate these cells for therapeutic purposes. Key areas of interest include antigen specificity, immune cell dysfunction, and immune-based disease interventions. Education: Holds a BSc and PhD (specific disciplines unspecified). Affiliated with the Cancer Science Institute (CSI) and A*STAR Infectious Diseases Labs. His work spans translational immunology, virology, and cancer immunotherapy. Recent projects include studies on SARS-CoV-2 immune responses, tumor microenvironment interactions, and tropical sponge microbiome evolution. He employs high-throughput approaches and machine learning for immune profiling. Research highlights include: Characterizing T/B cell responses against pathogens and cancers Engineering immune cells for enhanced functionality Investigating antibody mechanisms against coronaviruses Dissecting metabolic influences on T cell efficacy in tumors Exploring symbiotic microbiome evolution in marine environments No specific grants or advising roles are detailed in the provided text. He contributes to collaborative initiatives like the Department Safety and Health Programme (DSHP) and the Department Microbial Culture Collection (DMCC).

Carla CasuloView profile

Associate Professor

• Lymphoma Research
• Follicular Lymphoma
• Hodgkin Lymphoma
• +5 more

Carla Casulo, M.D. serves as Associate Professor of Medicine and Assistant Director of Cancer Research Training and Education at the Wilmot Cancer Institute, University of Rochester Medical Center. She holds dual board certification in Hematology and Medical Oncology from the American Board of Internal Medicine. Education and Training: Medical Degree: SUNY Downstate Health Sciences University (2004) Internship & Residency: Yale New Haven Hospital, Internal Medicine (2004-2007) Chief Residency: Yale University School of Medicine Fellowship: Memorial Sloan-Kettering Cancer Center, Hematology & Oncology (2008-2011) Dr. Casulo is an internationally recognized clinician-researcher specializing in all forms of lymphoma, with particular expertise in follicular lymphoma, Hodgkin lymphoma, and young adult lymphoma. Her research focuses on precision oncology approaches using real-world datasets and clinical trials to identify risk factors, optimize treatment sequencing, and improve survival outcomes. She has pioneered work in follicular lymphoma prognostication and transformation patterns. Her publication portfolio reveals strong emphasis on lymphoma subtyping, treatment resistance mechanisms, and novel therapeutic combinations. Recent work includes investigations into venetoclax combinations, T-cell lymphoma diagnostics, and outcomes in young follicular lymphoma patients. She actively leads multiple clinical trials including phase 3 studies in Hodgkin lymphoma and novel approaches for peripheral T-cell lymphoma. Major Awards: NIH K12 Career Development Award Lymphoma Research Foundation Clinical Research Mentoring Program Scholar Arthur W. Bauman Teaching Award Multiple patient care excellence awards including ICARE Patient Centered Bronze Star Dr. Casulo serves as Chair of lymphoma sessions at major international conferences (ASH, ASCO, ICL) and is Steering Committee Member for the Women in Lymphoma Global Organization. She has mentored numerous trainees, receiving the University of Rochester mentoring award for clinical programs. Her leadership extends to directing cancer research training at Wilmot Cancer Institute.

Cristian TomasettiView profile

Professor

• Cancer Etiology
• Mathematical Oncology
• Cancer Evolution
• +5 more

Cristian Tomasetti serves as Professor and Director of the Early Detection and Prevention Division at City of Hope's Beckman Research Institute, where he leads the Division of Mathematics for Cancer Evolution and Early Detection within the Department of Computational and Quantitative Medicine. His work bridges mathematical modeling with cancer biology to develop novel approaches for cancer detection and prevention. Dr. Tomasetti's research focuses on the mathematical foundations of cancer etiology, evolution, and early detection. His laboratory has pioneered algorithms for early cancer detection using cell-free DNA sequencing and protein data, developing some of the first multi-analyte blood tests capable of identifying cancer at its earliest stages. His work on cancer evolution has produced the most comprehensive mathematical models of tumorigenesis currently available, providing critical insights into mutation rates, driver gene requirements, and fitness advantages in cancer development. His influential research on the relationship between stem cell divisions and cancer risk has reshaped understanding of cancer etiology. The analysis of Dr. Tomasetti's recent publications reveals a consistent focus on liquid biopsy technologies, particularly circulating tumor DNA analysis for early cancer detection and monitoring. His work spans multiple cancer types including colorectal, pancreatic, ovarian, and bladder cancers, with a strong emphasis on translating mathematical models into clinically applicable diagnostic tools. The research demonstrates an evolution from theoretical models of cancer development to practical applications in cancer screening, risk assessment, and treatment monitoring. Dr. Tomasetti has established himself as a leader in the field of mathematical oncology, with his laboratory at the forefront of developing computational approaches to cancer prevention and early detection. His work on cell-free DNA testing has significant potential to transform cancer screening paradigms, moving toward less invasive and more effective methods for detecting cancer before symptoms appear.