Find Academic Supervisors

Michael G. KharasView profile

Professor

• Hematopoietic Stem Cell Biology
• Leukemia Pathogenesis
• RNA Regulation
• +5 more

Michael G. Kharas is a Professor at Weill Cornell Medicine's Pharmacology Graduate Program and an Investigator at Memorial Sloan-Kettering Cancer Center's Molecular Pharmacology Program. His research focuses on RNA regulators in hematopoietic stem cells and leukemia pathogenesis, particularly Musashi-2 and m6A methylation mechanisms. Dr. Kharas investigates how post-transcriptional RNA regulation affects symmetric/asymmetric cell division balance in HSCs and leukemic stem cells. His lab develops small molecules targeting RNA-binding proteins and studies metabolic adaptations in leukemia, including fructose utilization and serine synthesis pathways. Current projects explore RNA methylation, chromatin regulation, and screening approaches for self-renewal modulation. His publications reveal trends in RNA biology, epigenetics, and leukemic stem cell targeting. Key subfields include m6A-dependent differentiation control, Musashi-2 networks, metabolic dependencies, chromatin maintenance, and therapeutic strategies against RNA regulators. Leukemia and Lymphoma Society Career Development Award Alex Lemonade Stand Foundation ‘A’ Award American Society of Hematology Junior Faculty Scholar Award Kimmel and V-Scholar Awards Louis V. Gerstner Young Investigator Award As lab head, he mentors researchers and collaborates across institutions. His work spans basic HSC biology, translational leukemia models, and drug discovery platforms targeting RNA-protein interactions.

• Plant Molecular Biology
• Transcription Factors
• Phytoplasma Pathology
• +7 more

Jacqueline Busscher-Lange is a Researcher at BIOS Plant Development Systems within Wageningen University & Research. Her work focuses on plant molecular biology with particular emphasis on transcription factor networks, phytoplasma pathogenesis, and temperature-responsive gene regulation.

• Immunology
• Molecular Biology
• Hematology
• +3 more

Stefan Erkeland is an Associate Professor at Erasmus MC focusing on Immunology research. His work spans multiple disciplines including Immunology, Oncology, and Stem Cell Research. Key research areas include: T Cell exhaustion mechanisms in immunotherapy MicroRNA regulation in pediatric leukemia Non-coding RNA roles in refractive errors Hematopoietic stem cell transplantation CD117 antibody development for bone marrow conditioning Recent publications highlight trends in: Immune-modulating therapies for hematological malignancies Genomic enhancer analysis in developmental disorders Reporter mouse models for T cell studies Computational approaches to microRNA signatures

• RNA Sequencing
• Genetics
• Enhancer Region
• +5 more

Dr. Eskeatnaf Mulugeta is an Assistant Professor at Erasmus MC in the Internal Medicine department. His research focuses on Genetics , Molecular Biology , and Medicine , particularly in the context of liver disease, transcriptome analysis, and genomic regulatory elements. Research Interests : RNA Sequencing and Transcriptomics Enhancer Regions and Non-coding Genomics Endothelial and Hepatic Stellate Cell Biology Liver Fibrosis and Metabolic Dysfunction Publications : Recent work includes studies on ZEB2's role in liver steatosis (2025), forensic single-cell DNA sequencing (2024), and SPLiT-seq pipeline comparisons (2024). His research spans functional genomics, computational biology, and clinical applications of genomic data. Collaborations : Active in multi-institutional research networks with contributions to forensic genetics and metabolic liver disease studies. Supervised Work : Mentored 2 supervised research projects, though specific advisees are not named in the text. Scientific Awards : No explicit awards or honors are mentioned in the provided text.

• Machine Learning
• Deep Learning on Graphs
• Trustworthy Artificial Intelligence
• +5 more

Xiaorui Liu is an Assistant Professor in the Department of Computer Science at North Carolina State University's College of Engineering, where he joined the faculty in August 2022. He also holds a courtesy appointment in the Department of Electrical and Computer Engineering. His research focuses on developing scalable and trustworthy machine learning systems with applications in data science, AI, and intelligent computing. Dr. Liu earned his Ph.D. in Computer Science from Michigan State University in 2022 under the supervision of Dr. Jiliang Tang. He completed both his Master's and Bachelor's degrees at South China University of Technology. His academic journey reflects a strong foundation in computer science with specialized expertise in machine learning and graph-based systems. Liu's research spans trustworthy artificial intelligence, large-scale machine learning, deep learning on graphs/language/vision, and generative AI. His work addresses fundamental challenges in graph neural networks, adversarial robustness, and scalable AI systems. He has published extensively in top-tier conferences including NeurIPS, ICML, ICLR, KDD, AISTATS, and SIGIR, demonstrating both theoretical depth and practical applications across multiple domains. His publications reveal a strong focus on making AI systems more robust, efficient, and applicable to real-world problems. Recent work explores the intersection of large language models with graph structures, adversarial robustness in deep learning systems, and scalable approaches to graph neural networks that can handle industrial-scale data. NSF Career Award (2025) AAAI-2025 New Faculty Highlights National AI Research Resource Pilot Award (2024) ACM SIGKDD Outstanding Dissertation Award (Runner-up, 2023) Amazon Research Award (2023) NCSU Data Science Academy Award (2023) Dr. Liu actively mentors multiple PhD and Master's students including Weizhi Gao, Zhichao Hou, Xingyue Shi, and Daniel Buchanan. His group has secured research funding from Amazon, Snap Research, and the National Science Foundation. He regularly serves as an organizer, senior program committee member, and reviewer for major venues including ICML, NeurIPS, ICLR, KDD, AAAI, and IJCAI. He has co-organized tutorials at SDM 2024, AAAI 2024, KDD 2023, and other leading conferences, helping to disseminate knowledge about large-scale graph neural networks and trustworthy AI. His research group, the Network and Data Science Lab, focuses on developing techniques for large-scale machine learning on graphs with applications in cybersecurity, manufacturing, biology, and healthcare. The group has established collaborations with Oak Ridge National Laboratory, Amazon, and other industry partners to address real-world challenges in AI systems.

Vardan T. KaramyanView profile

Professor

• Neurodegenerative Disorders
• Cardiovascular Disorders
• Enzyme and Receptor Pharmacology
• +13 more

Vardan T. Karamyan is a Professor in the Department of Foundational Medical Studies at the Oakland University William Beaumont School of Medicine (OUWB), where he also heads the Laboratory for Neurodegenerative Disease and Drug Discovery. He joined OUWB in September 2022, after a distinguished career at Texas Tech University Health Sciences Center, where he served as Full Professor and Vice-Chair of Pharmaceutical Sciences. Pharm.D., Faculty of Pharmacy, Yerevan State Medical University Ph.D., Biology, Institute of Biochemistry, National Academy of Sciences of Armenia Postdoctoral Training, Pharmacology, University of Mississippi Dr. Karamyan’s research spans enzyme and receptor pharmacology, chemical biology, and drug discovery, with a focus on neurodegenerative and cardiovascular disorders. His work integrates molecular, biochemical, and behavioral approaches to study ischemic stroke, Alzheimer’s disease, and vascular dementia. Key areas include the role of neuropeptides like neurolysin (Nln) in modulating the blood-brain barrier, allosteric activation of peptidases (e.g., ACE2, neprilysin), and mechanisms of neuroplasticity and functional recovery after stroke. His recent publications reflect a strong trend toward translational neuroscience, with an emphasis on developing novel therapeutics and refining preclinical models. Articles highlight small molecule activators of neurolysin, challenges in ACE2 pharmacology, and innovative low-cost stroke models, underscoring a commitment to both mechanistic insight and practical application. Dr. Karamyan has received research funding from the National Institutes of Health (NIH) and the American Heart Association (AHA) , recognizing the significance and impact of his work. As an educator, he has been consistently recognized by students and peers for excellence in teaching pharmacy and graduate students. He mentors PhD students and postdoctoral fellows, fostering an inclusive environment that promotes academic success and innovation. His laboratory actively investigates neurolysin biology, peptidase modulation, and stroke recovery mechanisms, contributing to a deeper understanding of neurodegenerative diseases and advancing therapeutic strategies.

• Molecular microbiology
• RNA biology
• Bacterial pathogenesis
• +4 more

Jens Sivkær Pettersen is a Postdoctoral Researcher at the Department of Biochemistry and Molecular Biology , University of Southern Denmark, with guest researcher status at Karolinska Institute, Odense University Hospital. His work focuses on molecular microbiology, particularly RNA-mediated regulation in bacterial pathogens. Education : PhD in RNA biology of Streptococcus pneumoniae (2023) Key collaborations : Jakob Møller-Jensen, Morten G. Jørgensen, Tobias E. Andersen Research interests span bacterial pathogenesis, regulatory networks, RNA biology, and host-environment interactions. Recent studies explore: Pneumococcal adaptation to human bodily fluids RNA regulatory mechanisms in Gram-positive pathogens Antimicrobial properties of marine compounds Two-component signal transduction systems Publications (2020-2024) reveal expertise in: Streptococcus pneumoniae pathogenesis Uropathogenic E. coli surface dynamics Bioinformatic analysis of regulatory elements RNA-based virulence control

Lin GanView profile

Professor

• Neuroscience
• Molecular Biology
• Genetics
• +4 more

Lin Gan is a Professor at the Medical College of Georgia , with appointments in the Department of Cellular Biology and Anatomy and the Department of Neuroscience and Regenerative Medicine . His research focuses on gene regulation, retinal and inner ear development, and translational applications of mouse models. Ph.D. in Biological and Biomedical Sciences, University of Texas Health Science Center, 1992 B.S. in Biochemistry and Molecular Biology, Zhongshan University, 1985 Dr. Gan's work explores the molecular mechanisms underlying neuronal differentiation, synaptic connectivity, and disease models in the retina and cochlea. His expertise spans CRISPR-Cas9 technology, transcription factor networks, and developmental genetics. Recent publications highlight his contributions to gene editing (prime editing), retinal degeneration (keratoconus models), and neurodevelopmental processes (Lhx, Pou4f1, Isl1 gene interactions). Scientific Recognition: Recipient of the GRA Eminent Scholar Chair in Neuroscience , reflecting his leadership in neuroscience and regenerative medicine.

Kenneth KwonView profile

Associate Professor

• Kidney Disease
• Fibrosis
• MicroRNA
• +5 more

Kenneth Kwon serves as an Associate Professor at Augusta University with dual appointments in the Department of Cellular Biology and Anatomy within the Medical College of Georgia and The Graduate School. His research focuses on molecular mechanisms driving kidney pathology and repair processes. His educational background includes a Ph.D. in Physiology, Pathology, and Related disciplines from Johns Hopkins University (2005). Dr. Kwon's research program investigates kidney fibrosis through the lens of epigenetic regulation , microRNA networks , and cellular stress responses . Key areas include DNA hypermethylation in HOXA5 suppression, QKI-mediated microRNA trafficking, autophagy-ERK signaling crosstalk, and metabolic drivers of ferroptosis in chronic kidney disease. His work integrates molecular biology, cellular physiology, and translational nephrology to identify novel therapeutic targets for renal fibrosis. Recent publications (2023-2024) reveal a concentrated focus on extracellular vesicle communication, epigenetic reprogramming, and metabolic dysregulation in kidney disease progression, with consistent exploration of NOTCH, MAPK/ERK, and ferroptosis pathways across multiple studies. Emerging Scientist Award, MCG/Augusta University (2020) FASEB Scholarship, FASEB Acute Kidney Injury (2019) Carl Gottschalk Career Development Award, American Society of Nephrology (2016) Outstanding Research Junior Faculty Award, Medical University of South Carolina (2016) Postdoctoral Research Award, CTSI Howard Hughes Medical Institute (2012) Dr. Kwon teaches graduate-level courses including Current Topics in Cellular Biology (ANAT 8090) and Molecular Cell Biology (BIOM 8022), while mentoring undergraduate researchers through CURS 2990. His institutional service includes IACUC review duties and tenure-track faculty selection committee membership, complemented by professional service on NIDDK panels through 2029. Though specific grant details aren't listed, his award portfolio indicates significant external funding for kidney disease research. While not explicitly detailed in available materials, his publication record on renal fibrosis mechanisms strongly suggests leadership of a research laboratory investigating molecular pathways in kidney disease progression and repair.

• Ophthalmology
• Stem Cell Research
• Genomics
• +2 more

Ajeet Singh serves as a Postdoctoral Associate within the Department of Ophthalmology at Baylor College of Medicine, focusing on translational vision research and genomic medicine. His primary research domains include: Ophthalmology, with specialized expertise in age-related macular degeneration (AMD) pathogenesis Stem Cell Research utilizing patient-derived induced pluripotent stem cells (iPSCs) for retinal disease modeling Genomics and Bioinformatics approaches to inherited retinal disorders Plant Genomics (historical focus) involving non-coding RNA analysis and database development Publication analysis reveals a strategic research evolution: from 2018-2022, Singh developed multiple plant genomics databases (PtRNAdb, PtncRNAdb, PVsiRNAdb) studying tRNA-derived fragments and fusion transcripts. Since 2023, his work pivoted sharply toward ophthalmology, generating iPSC models for AMD using patient samples and twins discordant for the disease, while integrating multiomic data to identify disease modules. This transition demonstrates exceptional adaptability across biological domains. No scientific awards were documented in available sources. Academic mentoring activities and grant funding details remain unreported in current institutional profiles. Dr. Singh operates within Baylor College of Medicine's Ophthalmology department infrastructure, though specific laboratory affiliations or collaborative networks aren't detailed in public listings.

Andrew SharkeyView profile

Lecturer

• Reproductive Biology
• Maternal-Fetal Interaction
• Immunology
• +12 more

Dr. Andrew Sharkey is a Lecturer in the Department of Physiology, Development and Neuroscience at the University of Cambridge. He is a member of the Centre for Trophoblast Research and contributes to interdisciplinary research on maternal-fetal interactions, particularly focusing on implantation, placental development, and immune system modulation during pregnancy. Affiliation: Centre for Trophoblast Research, University of Cambridge Teaching: Part 2 course on implantation and early development, supervision in Reproductive Sciences for pre-clinical medicine, histopathology demonstrator His research spans molecular mechanisms of embryo-endometrial interactions, novel contraceptive strategies, and the role of genetic and immune factors in pregnancy complications such as pre-eclampsia, miscarriage, and stillbirths. Key specialities include Immunology , Infertility , and Maternal-Fetal Compatibility . Analysis of his publications reveals a focus on NK cell receptors (e.g., KIR2DS4, KIR2DS1), HLA-G and HLA-C interactions, DNA methylation in placental aging, and endometrial gene regulation. These works bridge immunology, reproductive medicine, and epigenetic mechanisms. Teaching roles include lecturing on implantation and early development, supervising the Endocrinology and Reproductive Sciences module for pre-clinical medicine, and demonstrating histopathology practicals. His keywords highlight expertise in Contraception , Genetics , and Pregnancy Complications .

Eyal MaoriView profile

Research Fellow

• RNA Biology
• Social Immunity
• Epigenetic Communication
• +3 more

Dr. Eyal Maori (University of Cambridge) is a Sir Henry Dale Fellow at the Department of Biochemistry, focusing on RNA communication between organisms. His research explores RNA interconnections in infection, immunity, and genome dynamics, particularly studying RNA transfer between honeybees and its implications for social immunity and epigenetic communication. Key research areas include Establishing methods to study natural RNA transmission in honeybees Characterizing transmissible RNA in recipient honeybees Investigating RNA-primed social immunity across generations Assessing transmissible RNA effects on honeybee physiology and behavior His group employs RNA biochemistry techniques, imaging, and high-throughput sequencing to define RNA transfer mechanisms between cells and organisms. This work aims to develop tools for studying RNA transmission biology across systems, with applications in sustainability, health, and disease control. Publications and patents reveal trends in Plant RNA specificity modification for gene silencing dsRNA applications for pest control CRISPR/Cas9 HIV-1 studies Coffee bean and banana shelf-life enhancements Honeybee-Varroa mite interactions via RNA pathways

Eugene KatsevichView profile

Assistant Professor

• Genetics
• Genomics
• High-dimensional Statistics
• +3 more

Eugene Katsevich is an Assistant Professor at the University of Pennsylvania's Wharton Department of Statistics and Data Science. His research spans statistical theory, methodology, and applications in genomics and computational biology. Education: Ph.D. in Statistics (Stanford, 2019), A.B. in Mathematics (Princeton, 2014) His work focuses on: High-dimensional variable selection and multiple testing Conditional independence testing and computational efficiency Applications to genetics and genomics Development of statistical software for biological discovery Recent publications address: Robust differential expression analysis in single-cell CRISPR screens Theoretical advances in false discovery rate control Multi-resolution causal variant localization CRISPRi-based enhancer-gene mapping Scientific awards include: Wharton Undergraduate Teaching Excellence Award (2021) He teaches courses in modern data mining (STAT4710/5710) and statistical methodology (STAT9610), and leads the Katsevich Lab at UPenn, funded by NSF and Analytics at Wharton. His research develops methods like KnockoffZoom and SCEPTRE for genome-wide analysis and single-cell CRISPR data.

Vincenzo BonniciView profile

Associate Professor

• Bioinformatics
• Artificial Intelligence
• Computational Biology
• +3 more

Vincenzo Bonnici is an Associate Professor in Informatics at the Department of Mathematical, Physical and Computer Sciences , University of Parma, Italy. His academic career includes a PhD in Computer Science from the University of Verona (2015), preceded by a master’s degree from the University of Catania (2011). He has held research positions at prestigious institutions, including the Institute for Genomics and Bioinformatics (IGB) , University of California, Irvine (2013–2014). Education BSc/MSc in Computer Science from University of Catania (2008/2011) PhD in Computer Science from University of Verona (2015) His research focuses on bioinformatics and computational biology , with a strong emphasis on subgraph matching algorithms for biomedical graphs, genomic sequence analysis using information theory, and parallel computing for biological networks. His work spans pangenomics, phylogenomics, and non-coding RNA studies, with applications in GPU and SMP architectures. The article trends reflect his core expertise in graph algorithms and computational genomics. Key contributions include MULTI-GRAPHMATCH (2025) for multigraph analysis, ARC-MATCH (2024) for edge domain-based graph querying, and foundational work on pangenome discovery (e.g., PANDELOS series, 2023). Parallel computing and information theory are recurring themes across his publications. Scientific awards include the ICPR 2014 international graph-matching contest and a best poster award at the Jacob T. Schwartz International School for Scientific Research. He has served as a speaker at 12 international conferences. Teaching includes courses on Artificial Intelligence Algorithms (2025/2026), Artificial Intelligence Laboratory , and Software Engineering at the University of Parma. His work integrates algorithmic innovation with biological data analysis.

Sven DiederichsView profile

Professor

• Functional Genomics
• Cancer Mutations
• FGFR Family Signaling
• +3 more

Prof. Dr. Sven Diederichs is a Tenured Full Professor (W3) and Division Head of the Division of Cancer Research at the Department of Thoracic Surgery , University Hospital Freiburg. He coordinates the DKTK Program 'Exploitation of Oncogenic Mechanisms' and leads the Center for Translational Cell Research (ZTZ). His work bridges high-throughput functional genomics with precision oncology. Education: PhD (Dr. rer. nat.) in Hematology/Oncology, University of Münster; Biochemistry, University of Witten/Herdecke and Eberhard-Karls-Universität Tübingen Postdoctoral Training: Harvard Medical School/Massachusetts General Hospital Cancer Center His research focuses on functional characterization of cancer-derived mutations , particularly in the FGFR family, to inform targeted therapies. He developed saturation mutational scanning libraries to map drug resistance/sensitivity across 30,000 mutations and explores non-canonical mutations like nonstop extensions and synonymous variants. Recent work highlights include comprehensive studies on RNA-dependent proteins (R-DeeP), lincNMR's role in nucleotide metabolism, and systematic analysis of mutation-driven tumorigenesis. These efforts aim to establish clinical decision support systems for precision oncology. Scientific Awards : FEBS Anniversary Prize (2016) Liver Cancer Research Award (2014) Dr. Hella Bühler Prize (2013) Binder Innovation Prize (2012)