Find Academic Supervisors

• Medical Genetics
• Nephrology
• Genomics
• +3 more

Dr. Ian Wilson is a researcher at Newcastle University with a focus on medical genetics, nephrology, and genomic analysis. His work spans genetic determinants of kidney diseases, mitochondrial disorders, and biomarker development. Notable contributions include studies on uromodulin genetics in African populations, copy-number variations in rare diseases, and kidney ciliopathies. He has collaborated extensively on projects involving genome sequencing, mitochondrial replacement therapy, and muscular dystrophy biomarkers. Wilson's research integrates computational tools like machine learning for predictive modeling in urolithiasis and employs advanced imaging techniques for disease progression monitoring. Key areas: Genetic epidemiology, renal genomics, mitochondrial DNA analysis Focus on translational applications: Biomarker development for kidney stones and muscular dystrophies Interdisciplinary collaborations in ophthalmology and orthopedics His publications reflect a commitment to advancing diagnostic accuracy and understanding complex genetic disorders through multi-omics approaches.

Matloob KhushiView profile

Senior Lecturer

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +7 more

Dr. Matloob Khushi serves as a Senior Lecturer in Computer Science at Brunel University London's College of Engineering, Design and Physical Sciences. With over 25 years of combined academic and industry experience, his work bridges theoretical AI advancements with practical applications in finance, healthcare, and public health domains. His research has established significant collaborations with international banks, healthcare institutions, and technology startups. Dr. Khushi earned his PhD in AI and Data Science from the University of Sydney, developing novel algorithms for genomic data analysis. His postdoctoral research at the Children's Medical Research Institute (2014-2017) pioneered AI-based diagnostic tools for medical condition detection. More recently, he developed bioinformatics tools for environmental assessment under a UKRI NEC grant. Research Focus FinTech Innovation : Creator of the SS Ratio (incorporating volatility and drawdown sensitivities), advanced portfolio optimization models, and synthetic data generation techniques for fraud detection and credit risk assessment Bioinformatics Leadership : Developer of AI tools for genomic analysis and early cancer detection, featured in SBS News and The Daily Telegraph Public Health NLP : Architect of systems for vaccine misinformation detection, mental health monitoring, and health surveillance on social media His publication portfolio shows consistent growth from foundational bioinformatics work to current multimodal AI applications, with increasing interdisciplinary collaboration across finance and healthcare sectors. Awards and Recognition Ranked among Stanford/Elsevier's top 2% of global AI scientists Recipient of Best Paper Awards from IEEE Transactions on Computational Social Systems and PeerJ Media recognition for cancer detection research by major news outlets Mentorship and Teaching Dr. Khushi has supervised six PhD candidates to completion and over 100 postgraduate dissertations. He teaches CS3002 Artificial Intelligence and mentors students in Final Year Projects. His supervision focuses on Deep Learning/NLP for FinTech prediction and Public Health Surveillance applications, emphasizing practical implementation of theoretical concepts.

Maizie ZhouView profile

Assistant Professor

• Computational Genomics
• Bioinformatics
• Computational Neuroscience
• +6 more

Maizie Zhou is an Assistant Professor in Biomedical Engineering and Computer Science at Vanderbilt University’s School of Engineering. She holds dual PhDs in Computer Science (Stanford University) and Neuroscience (Wake Forest School of Medicine), with additional degrees from Wake Forest University and Huazhong University of Science and Technology. Her research focuses on computational genomics, bioinformatics, and machine learning applied to problems in cancer genomics, single-cell and spatial transcriptomics, and computational neuroscience. She leads the Zhou Lab, which develops algorithms for structural variant detection, neural circuit analysis, and integrative omics approaches. Recent work includes tools like VolcanoSV and stDyer, and she has received grants from NIH, Vanderbilt Brain Institute, and industry partnerships. Key achievements include VUSE Best Paper Awards, Global Engagement Travel Grants, and mentoring students in prestigious programs like the Provost’s Pathbreaking Discovery Award. Her lab also explores the neural underpinnings of cognitive maturation in primates, combining computational and experimental neuroscience. Education: PhDs in Computer Science (Stanford) and Neuroscience (Wake Forest), MS (Computer Science, Wake Forest), BS (Biotechnology, Huazhong). Research interests span computational genomics (e.g., structural variant detection, haplotype phasing), spatial transcriptomics (clustering, integration), and computational neuroscience (neural circuit dynamics, prefrontal cortex plasticity). Her lab’s tools address challenges in precision medicine, cancer genomics, and understanding adolescent brain development. Recent projects include NIH-funded work on spatial transcriptomics and collaborations with Dr. Meltzer’s lab on cancer genomics. Publications highlight advancements in bioinformatics tools and neural mechanisms, with trends toward multi-omics integration and algorithmic innovation in genomics. Awards include the Global Engagement Travel Grant and CCSB Accelerator Fund. Students under her mentorship have excelled in qualifying exams and travel grants, reflecting her impactful training program.

Lindsey KentView profile

Professor

• Psychiatric Genetics
• Neuroscience
• Developmental Disorders
• +4 more

Lindsey Kent is a Professor at the University of St Andrews' School of Medicine, where she serves as Deputy Head and Director of Admissions. Her research focuses on the biological foundations of psychiatric disorders, particularly ADHD and developmental language disorders. Education: Medicine (Aberdeen University, 1989), PhD (University of Birmingham, 1998) Academic Appointments: Wellcome Trust Fellow (1999), University Lecturer (University of Cambridge, 2003), Reader (University of St Andrews, 2007) Research Trends: Dr. Kent's work explores psychiatric genetics, neurodevelopmental disorders, and molecular mechanisms through genome-wide association studies, exome sequencing, and genetic epidemiology. Key Collaborations: Psychiatric Genomics Consortium, EAGLE Consortium, 23andMe Technical Focus: ATP2C2 gene variants, TNR gene associations, polygenic risk architectures Awards: Fellow of the Higher Education Academy (2000) Academic Contributions: She has directed two Wellcome Trust-funded projects on ADHD genetics and co-authored over 91 peer-reviewed publications, including significant studies in Nature Communications and Human Molecular Genetics . Her editorial roles include serving on the American Journal of Medical Genetics board (2007–2014).

• Autism Spectrum Disorders
• Medical Genetics
• Genomic Analysis
• +3 more

Deqiong Ma is an Assistant Professor in the Department of Genetics at Yale University School of Medicine and Associate Director of the DNA Diagnostic Laboratory. She holds an MD from Tongji Medical University (1991), a PhD from the University of Tasmania (2003), and completed a postdoctoral fellowship at Duke University and a clinical fellowship at Albert Einstein College of Medicine. Her research focuses on genetic and genomic mechanisms underlying autism spectrum disorders, particularly copy number variants (CNVs), structural variation analysis, and clinical diagnostic methodologies. Key research interests include identifying novel genetic risk factors for autism using advanced genomic techniques, such as homozygosity mapping and fine-scale structural variation analysis. Her work bridges clinical genetics and molecular biology, with applications in diagnostic testing and understanding neurodevelopmental disorders. She collaborates extensively on studies involving autism candidate genes (e.g., MBD5, TBL1X) and genomic pathway analysis. Publications emphasize translational research, including diagnostic improvements for pediatric patients and elucidating genetic architecture in autism. She leads efforts in the DNA Diagnostic Lab to integrate genomic data into clinical practice, focusing on regions of homozygosity and uniparental disomy.

Mukul S. BansalView profile

Associate Professor

• Computational Biology
• Bioinformatics
• Computational Phylogenetics
• +3 more

Mukul S. Bansal is an Associate Professor of Computer Science & Engineering at the University of Connecticut's School of Computing. His research focuses on computational biology and bioinformatics, particularly computational phylogenetics, comparative genomics, and algorithmic optimization. He leads the Computational Biology Lab, developing computational methods and software tools to address fundamental biological questions. His work integrates theoretical computer science with genomic data analysis. He maintains active participation in computational biology communities, including program committee roles at conferences like ISMB/ECCB, RECOMB, and ACM-BCB. His group offers PhD and undergraduate research opportunities in areas such as phylogenetic analysis, horizontal gene transfer, and genomic algorithm development. Contact: mukul.bansal@uconn.edu, ITE Building Room 359. Research interests include phylogenetic tree reconciliation, domain-gene-species evolution models, and algorithmic solutions for large-scale genomic data. He has developed tools like TreeFix-TP, TNet, and virDTL, contributing to viral evolution and cancer genomics studies. His lab emphasizes interdisciplinary approaches bridging computer science and biology.

• Cytopathology
• Molecular Oncology
• Genitourinary Pathology
• +3 more

Dr. Tong Sun is an Assistant Professor of Pathology at Yale School of Medicine, specializing in surgical pathology and cytopathology with a focus on gynecological and genitourinary pathology. Her research emphasizes translational and molecular studies in cancer diagnostics, including the application of next-generation sequencing and molecular markers in cytology. Education & Training: M.D. from Peking University Health Science Center (2002) Ph.D. in Molecular Oncology from Peking Union Medical College (2007) Postdoctoral Research Fellow at Dana-Farber Cancer Institute (2011) Clinical and Anatomic Pathology Residency at University of Massachusetts Medical School (2019) Cytopathology Fellowship at Massachusetts General Hospital (2020) Research Interests: Dr. Sun’s work bridges clinical practice and research, focusing on improving diagnostic accuracy through molecular profiling and cytological techniques. Key areas include: Genetic markers in castration-resistant prostate cancer Application of the Paris and International Systems for Urine/Serous Fluid Cytopathology Next-generation sequencing in urothelial and gynecologic malignancies Cytomorphologic challenges in transgender health and histological correlation Publications & Trends: Over 50 peer-reviewed articles and 5 book chapters, highlighting advancements in cervical cytology, thyroid nodules, endometrial cancer prognosis, and ovarian cyst diagnostics. Recent work emphasizes molecular features of pancreatic and lung carcinomas. Awards: Warren R. Lang Resident Physician Award (2020) Journal of American Society of Cytopathology Physician-in-training Award (2022) Grants & Labs: Collaborates with Yale’s Gelb Genitourinary Translation Research Center and frequently publishes with co-authors like Guoping Cai and Adebowale Adeniran. No specific lab mentioned, but active in interdisciplinary cancer research teams. Future Work: Expanding studies on KRAS mutations in biliary stenosis, SMARCA4-deficient lung carcinomas, and clinical validation of novel diagnostic tools in serous fluid cytology.

Ben RaphaelView profile

Professor

• Bioinformatics
• Computational Biology
• Cancer Genomics
• +6 more

Ben Raphael is a Professor in the Department of Computer Science at Princeton University, with affiliations at the Lewis-Sigler Institute for Integrative Genomics, Omenn-Darling Bioengineering Institute, and Center for Statistics and Machine Learning. He is also an Affiliate Faculty member at the Rutgers Cancer Institute of New Jersey, Irving Institute for Cancer Dynamics at Columbia University, and New York Genome Center. His research focuses on computational methods for analyzing large-scale biological data, emphasizing cancer evolution, network/pathway analysis, and structural variation in genomes. Research Trends: His recent work spans cancer lineage trees, spatial transcriptomics, optimal transport for developmental models, and network analysis of mutations. Articles highlight applications in prostate cancer, pancreatic cancer, and single-cell genomics. Scientific Awards: 2024 ACM Fellow 2023 RECOMB Test of Time Award 2022 RECOMB Test of Time Runner-Up 2021 ISCB Innovator Award 2021 RECOMB Best Paper Runner-Up 2020 ISCB Fellow 2020 AACR Team Science Award 2011 NSF CAREER Award 2013 RECOMB Best Paper 2010-2012 Sloan Research Fellowship Advising: He has mentored numerous Ph.D. students and postdoctoral fellows, many of whom have transitioned to academic and industry roles. Current advisees include Uthsav Chitra, Gillian Chu, and Alexander Strzalkowski. Labs & Teams: Raphael leads the Raphael Lab at Princeton, developing tools like HotNet2, CHISEL, and HATCHet for cancer genomics and network analysis.

• Systems Biology
• Cancer Research
• Drug Resistance
• +7 more

Sampsa Hautaniemi is a Professor at the Department of Biochemistry and Developmental Biology within the Faculty of Medicine at the University of Helsinki. He serves as Principal Investigator of the Systems Biology of Drug Resistance in Cancer research group and holds docentship in the Faculty of Medicine. Professor Hautaniemi actively supervises doctoral students across multiple programs including the Doctoral Programme in Biomedicine, Doctoral Programme in Clinical Research, and Doctoral Programme in Integrative Life Science. His research focuses on systems biology approaches to understand drug resistance mechanisms in cancer, particularly ovarian cancer. His work integrates computational biology, genomics, epigenetics, and bioinformatics to develop precision medicine approaches for cancer treatment. His laboratory develops innovative computational methods and experimental models including patient-derived organoids to study tumor evolution, identify therapeutic targets, and predict treatment responses. Analysis of his recent publications reveals a strong emphasis on understanding tumor heterogeneity, clonal evolution during therapy, and the development of computational tools for cancer genomics. His work spans multiple disciplines including cancer biology, computational biology, immunology, and precision medicine, with a particular focus on high-grade serous ovarian cancer as a model system. Scientific Awards: The Anders Jahre Medical Prize to young medical scientists (2014) for outstanding research on systems biology and cancer The Finnish Medical Foundation 50-years jubileum award (2010) Professor Hautaniemi has supervised numerous doctoral students and early-career researchers, contributing significantly to cancer research education. His research is supported by multiple active projects including the DECIDER project (Clinical Decision via Integrating Multiple Data Levels to Overcome Chemotherapy Resistance in High-Grade Serous Ovarian Cancer) funded until 2026, as well as projects from the Academy of Finland, Cancer Foundation, and industry partners like Orion Corporation. His laboratory maintains a patient-derived organoid biobank for high-grade serous ovarian cancer and develops computational tools like Jellyfish for visualizing tumor evolution.

Martin PeiferView profile

Professor

• Computational Cancer Genomics
• Tumor Evolution
• Genome Instability
• +5 more

Professor Martin Peifer is a computational cancer genomics researcher at the University of Cologne, where he leads the Department of Translational Genomics. He serves as Principal Investigator of the Peifer Lab, which focuses on developing computational methods to analyze cancer genome sequencing data. His work is deeply integrated with the Center for Data and Simulation Science and he is an active member of the International Cancer Genome Consortium and the Pan-Cancer Analysis of Whole Genomes project. Peifer's research interests center on computational approaches to understanding cancer biology, with particular emphasis on tumor evolution and genome instability mechanisms. His lab develops methods to analyze somatic genome alterations including point mutations, copy number changes, and rearrangements. They also create computational tools for integrative genome analyses, tumor evolution reconstruction, and single-cell sequencing data analysis (both RNA and DNA). His interdisciplinary team applies high-performance computing and machine learning to interpret complex cancer sequencing data, aiming to better understand tumorigenesis, clonal evolution, and therapy resistance. Analysis of Peifer's extensive publication record reveals a strong focus on neuroblastoma and lung cancer genomics, with particular attention to tumor evolution patterns and genomic instability mechanisms. His work spans multiple cancer types but maintains consistent themes of computational methodology development and application to understand cancer progression and treatment resistance. The publications demonstrate increasing sophistication in analyzing intra-tumor heterogeneity and clonal dynamics over time. Peifer leads an active research group including postdoctoral fellows (Joel Kaufmann, Dr. Stephanie Pabel, Agnieszka Rumińska) and PhD students (Magdalena Seiffert, Justinas Valiulis). His lab is involved in the Collaborative Research Center 1399 focused on Mechanisms of Drug Sensitivity and Resistance in Small Cell Lung Cancer, indicating significant grant funding and collaborative research efforts. The Peifer Lab operates at the intersection of computational biology and cancer research, maintaining an interdisciplinary approach that combines bioinformatics, machine learning, and high-performance computing to address complex questions in cancer genomics. Their work has significant implications for understanding cancer evolution and developing more effective treatment strategies.

• Plant Biochemistry
• Specialized Metabolism
• Solanaceae Family
• +4 more

Cornelius Barry is an Associate Professor in the Department of Horticulture at Michigan State University, with affiliations to the Plant Breeding, Genetics and Biotechnology program, AgBioResearch, and the Molecular Plant Sciences Graduate Program. He joined MSU in July 2007 with a 75% research and 25% teaching appointment. Education: PhD and BSc from the University of Nottingham and University College of Wales Current roles: Director of NSF REU Site: Plant Genomics @ MSU His research focuses on the evolution of biochemical diversity within the Solanaceae family , particularly specialized metabolites like terpenoids, flavonoids, and alkaloids. He investigates their roles in plant defense, pollinator attraction, and human applications through genomics, metabolite profiling, and synthetic biology. Recent publications show expertise in alkaloid biosynthesis , trichome chemistry , and metabolic pathway engineering . Key collaborations include teams at Boyce Thompson Institute, Texas A&M, and University of Nottingham. He advises graduate students in Genetics , Biochemistry & Molecular Biology , and Molecular Plant Sciences programs.

Angela PooleView profile

Assistant Professor

• Precision Nutrition
• Gut Microbiota
• Host-Microbe Interactions
• +4 more

Dr. Angela Poole is an Assistant Professor of Molecular Nutrition in the Division of Nutritional Sciences at Cornell University's College of Human Ecology. She leads a research group focused on precision nutrition, investigating interactions between host genetics, dietary intake, and gut/oral microbiomes to prevent metabolic diseases. Education & Background Ph.D. in Genome Sciences, University of Washington Postdoctoral research at Dr. Ruth Ley's laboratory B.S. in Engineering and Applied Science, Caltech Research Focus Her interdisciplinary work combines genetics, microbiology, and nutrition to develop personalized dietary interventions. Key areas include: Optimizing dietary fiber for diabetes prevention Oral biofilm pathogenesis Host-microbiome-diet interactions in metabolic disorders Publication Trends Her 15 most recent publications (2014-2025) demonstrate consistent focus on microbiome dynamics, genetic influences on nutrition, and metabolic health. Recent work emphasizes oral/gut microbiome responses to dietary components like resistant starch and salivary amylase. Research Group Leads an active lab developing systems biology approaches for precision nutrition applications.

Mandi de MestreView profile

Professor

• Reproductive Biology
• Placental Development
• Equine Medicine
• +5 more

Dr. Mandi de Mestre is a Professor in the Department of Biomedical Sciences at Cornell University's College of Veterinary Medicine. As Director of the Baker Institute for Animal Health and holder of the Dorothy Havemeyer McConville Professorship of Equine Medicine, her research focuses on equine pregnancy biology, placental development, and fetal health. Director, Baker Institute for Animal Health Dorothy Havemeyer McConville Professor of Equine Medicine Affiliated with Cornell's College of Veterinary Medicine Her laboratory investigates: Molecular mechanisms of placental development Genetic causes of early pregnancy loss Congenital musculoskeletal disorders in Thoroughbreds Non-invasive diagnostics for fetal health Comparative studies linking equine and human pregnancy pathologies Recent research trends show strong emphasis on genomic stability, immune interactions during implantation, and epidemiological factors affecting equine pregnancies. Collaborations with institutions like the University of Nottingham and Royal Veterinary College UK highlight her interdisciplinary approach. The Equine Pregnancy Laboratory employs molecular biology, immunology, and genetics to address critical gaps in placental biology, with implications for both veterinary and human medicine.

Leif AnderssonView profile

Professor

• Genetics and Genomics
• Evolutionary Biology
• Comparative Genomics
• +3 more

Leif Andersson is a Professor at Uppsala University's Department of Medical Biochemistry and Microbiology, leading a research group focused on functional genomics in domestic animals and fish. His work bridges genetics, ecology, and evolutionary biology to explore phenotypic variation and adaptation. His research includes comparative genomics of domesticated species, identifying mutations linked to traits like horse gaits , chicken comb morphology , and herring ecological adaptation . Recent studies highlight genetic mechanisms in species such as corn snakes , Grey horses , and Darwin's finches , emphasizing environmental interactions and molecular pathways. Key article trends include supergenes in herring adaptation, RNA-binding proteins in cancer and development, and mutation-discovery in domesticated animals. His group's work spans genetic variation , ecological pressures , and evolutionary genetics . Students in his group include Arianna Cocco Ryan Joseph Daniels Jake Goodall Zheng Li Cheng Ma Giulia Maestri Fahime Mohamadnejad Sangdehi Mats Pettersson Matteo Sebastianelli Leyi Su Dandan Wang His contact details include the email Leif.Andersson@imbim.uu.se and phone number 070-425 02 33 , with an office at BMC, Husargatan 3, Uppsala.

• Skeletal Muscle Physiology
• Ribosome Biogenesis
• Transcriptional Regulation
• +4 more

Gustavo Alberto Nader is a Professor of Kinesiology at The Pennsylvania State University , holding the Dorothy Foher and J. Lloyd Huck Chair in Molecular, Cellular and Integrative Physiology. His research focuses on skeletal muscle growth control , ribosome biogenesis , and transcriptional/epigenetic regulation in health and disease contexts. Affiliated with the Huck Institutes of the Life Sciences and College of Health and Human Development Principal Investigator on NIH-funded projects examining ribosomal control of muscle mass Research Interests span molecular mechanisms of muscle adaptation to exercise, cancer cachexia, chronic disease impacts on muscle, and cross-species Wnt signaling regulation by CO₂ levels. Key methodologies include human/animal/cell models, ribosomal analysis, and epigenetic profiling. Publication Trends show sustained focus on: Ribosome biogenesis in muscle hypertrophy (2012–2025) Cancer-induced muscle wasting mechanisms (2015–2024) CO₂/Wnt pathway interactions (2015–2019) Exercise-induced transcriptional responses (2001–2016) Scientific Awards include the Huck Chair, while his Grants & Collaborations involve NIH-funded studies on transcriptional/epigenetic mechanisms (2019–2026) with cross-disciplinary teams in physiology, oncology, and respiratory medicine.