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Min ZhangView profile

Assistant Professor

• Bioinformatics
• Pharmacogenomics
• Computational Toxicology
• +3 more

Dr. Min Zhang is an Assistant Professor (tenure-track) in the Department of Pharmaceutical Sciences at the University of Pittsburgh’s School of Pharmacy. She holds a PhD in bioinformatics from Harbin Medical University and has conducted postdoctoral research at the FDA’s National Center for Toxicological Research and MD Anderson Cancer Center. Her research focuses on bioinformatics, pharmacogenomics, and computational toxicology, with an emphasis on developing computational tools for precision medicine and predicting adverse drug reactions. She is affiliated with the Center for Pharmacogenetics and has contributed to over 50 peer-reviewed articles in high-impact journals. Her work integrates multi-omics data to advance cancer therapies and drug safety. Education & Training: PhD in Bioinformatics, Harbin Medical University ORISE Fellow, FDA’s National Center for Toxicological Research Postdoctoral Training, MD Anderson Cancer Center Research Interests: Dr. Zhang’s research bridges computational biology and translational medicine. She develops algorithms to analyze genomic and transcriptomic data, with applications in: Cancer immunotherapy response prediction Drug-induced toxicity screening Non-coding RNA roles in cancer progression Multi-omics integration for personalized treatment strategies Grants & Advising: While specific grants are not listed, her publications indicate sustained research activity. She is currently accepting graduate students for training in pharmacogenomics and systems pharmacology. Labs & Teams: Affiliated with the Center for Pharmacogenetics , collaborating with interdisciplinary teams to translate genomic insights into clinical practice.

• Cancer Biology
• Virology
• Proteomics
• +12 more

Dr. Shane C Burgess is Vice President of the University of Arizona Division of Agriculture, Life and Veterinary Sciences, and Cooperative Extension, and the Charles-Sander Dean of the College of Agriculture, Life and Environmental Sciences. He leads a $320M/year enterprise that serves over 10,700 students and engages in extensive research and community outreach across Arizona. A first-generation student, he earned his veterinary degree with distinction from Massey University (New Zealand) and later completed a PhD in virology, immunology, and cancer biology at the University of Bristol Medical School. His research spans cancer biology, virology, proteomics, immunology, bioinformatics, and computational biology . He has made significant contributions to functional genomics, particularly in agricultural and veterinary contexts, and co-founded AgBase, a key resource for functional modeling in agricultural organisms. His work integrates high-throughput technologies like RNA-Seq, proteomics, and genome tiling arrays to improve genome annotation and understand host-pathogen interactions. The 15 most recent publications highlight a strong focus on systems biology, transcriptomics, and proteomics applied to pathogens such as Histophilus somni , Mannheimia haemolytica , and Marek’s Disease Virus, as well as agricultural species like chickens, cattle, and Miscanthus. His research consistently emphasizes functional annotation, genome refinement, and the discovery of non-coding RNAs and novel protein-coding regions. Scientific Awards: Institute for Animal Health Director's Award for Service Dr. Burgess has mentored 38 graduate students and secured over $53 million in competitive funding. He previously served as an assistant professor and later professor, associate dean, and director of the Institute for Genomics, Biocomputing and Biotechnology at Mississippi State University. He has been instrumental in major collaborative efforts, including the Gene Ontology Consortium and the Bovine Gene Atlas project. He currently leads large interdisciplinary teams focused on agricultural innovation, life sciences, and veterinary medicine. Notable labs and research initiatives under his leadership include the development of computational tools such as TAAPP (Tiling Array Analysis Pipeline for Prokaryotes) , GOModeler , and the Proteogenomic Mapping Tool , all designed to enhance genome annotation and functional modeling in non-model organisms.

• Machine Learning
• Computer Vision
• Data Compression
• +3 more

Don Adjeroh is a Professor and Associate Chair in the Lane Department of Computer Science and Electrical Engineering at West Virginia University (WVU). He serves as Graduate Coordinator for CS programs and has led multiple NSF-sponsored projects including Bridges in Digital Health and Multi-Scale Integrative Approach to Digital Health . His research focuses span Machine Learning , Bioinformatics , Computational Biology , and Data Compression . NSF CAREER Award recipient Collaborated with institutions like University of Central Florida and University of Canterbury Led workshops on Plant Image Analysis and Long Non-Coding RNA research His academic contributions include co-authoring the book The Burrows Wheeler Transform: Data Compression, Suffix Arrays, and Pattern Matching (Springer, 2008) and developing software tools like BSMP and PSA for data compression and protein family modeling. He teaches graduate-level courses in String Algorithms and Information Theory , with former projects involving undergraduate and graduate students in DNA microarray image processing and 3D video compression research. Key Scientific Awards : NSF CAREER Award NASA-WV Space Consortium funding WV-EPSCOR grants NSF-CITeR support DOD-ONR/DHS/DOJ/NIJ/NHPRC sponsorships

Mary Lauren BentonView profile

Assistant Professor

• Computational Biology
• Gene Regulation
• Biomedical Informatics
• +3 more

Dr. Mary Lauren Benton is an Assistant Professor in the Department of Computer Science at Baylor University's College of Engineering and Computer Science. She holds a Ph.D. and M.S. in Biomedical Informatics from Vanderbilt University (2020, 2018) and a B.S.I. in Bioinformatics from Baylor University (2015). Education: Ph.D. (Vanderbilt, 2020), M.S. (Vanderbilt, 2018), B.S.I. (Baylor, 2015) Her research focuses on computational biology and gene regulation, particularly how DNA sequences influence genome function and human disease risk through integrated datasets. Recent work explores enhancer-gene interactions, epigenetic mechanisms, and the application of graph neural networks to genomic problems. Selected publications highlight interdisciplinary trends across genomics (e.g., Cis-regulatory landscapes , CTCF motif accessibility ) and computer science (e.g., Dynamic graph attention , Node classification ).

Raluca Mihaela GordanView profile

Adjunct Associate Professor

• Transcription Factors
• Genomics
• Bioinformatics
• +3 more

Raluca Mihaela Gordan serves as Adjunct Associate Professor in the Department of Biostatistics & Bioinformatics at Duke University and is a Member of the Duke Cancer Institute Division of Integrative Genomics. Her work bridges computational biology, genomics, and cancer research with significant contributions to understanding transcription factor mechanisms. Education Ph.D., Duke University, 2009 Research Focus Dr. Gordan's research centers on transcription factor dynamics and their role in DNA damage susceptibility, mutagenesis, and cancer development. Her lab employs computational genomics and high-throughput data modeling to investigate how transcription factor binding sites become mutation hotspots due to environmental exposures like UV radiation and smoking. She pioneered discoveries showing transcription factors inadvertently 'lock in' DNA mistakes, contributing to genomic instability in melanoma and smoking-related cancers. Her work extends to regulatory genomics in Alzheimer's disease and protein engineering for DNA-binding specificity. Publication Trends Analysis of her 2021-2025 publications reveals three dominant themes: (1) Mechanistic studies of transcription factor binding and UV-induced DNA damage in cancer genomes, (2) Computational modeling of cooperative DNA-binding and mutation patterns, and (3) Translational applications in cancer driver identification and protein design. Her work consistently integrates wet-lab validation with algorithmic innovation, with increasing focus on clinical implications for precision oncology. Grant Leadership Dr. Gordan directs multiple major federally funded projects: ETS-family Transcription Factor Mediated Control of Pulmonary Inflammation (NIAID, 2023-2028) NSF/MCB-BSF: Transcription Factor Binding & UV Lesion Accumulation (NSF, 2023-2027) Design/Prioritization of Human Genome Perturbations (NHGRI, 2021-2026) Duke FUNCTION Center: Noncoding Causes of Disease (NHGRI, 2020-2025) Training Program in Bioinformatics/Cancer Immunology (NCI, 2020-2026) Research Infrastructure She leads the Gordan Lab within the Duke Cancer Institute, maintaining strong collaborations with molecular biologists and clinicians. Her team develops open-source computational tools for genomic analysis and participates in Duke's Summer Scholars in Genome Sciences program. Current efforts focus on predicting mutation hotspots in cancer genomes and engineering DNA-binding proteins for therapeutic applications.

• Human Anatomy
• Molecular Chaperones
• Heat Shock Proteins
• +4 more

Francesco Cappello is a Full Professor in the Department of Biomedicine, Neuroscience and Advanced Diagnostics at the University of Palermo, Italy, where he also serves as Vice-Rector for Student Life. His office is located in the Human Anatomy and Histology Building, where he maintains regular office hours for students. Professor Cappello teaches across multiple departments including Medicine and Surgery, Biomedical Engineering, and Sciences of Motor and Sport Activities. Professor Cappello's research program centers on molecular chaperones, particularly Heat Shock Protein 60 (Hsp60), and their roles in various physiological and pathological conditions. He has developed the concept of the "muco-microbiotic layer" as a novel morphofunctional structure and investigates how probiotics and nanovesicles might target this layer in disease conditions. His work spans multiple systems including the digestive system, skeletal muscle, neuroendocrine system, and respiratory system, exploring Hsp60's potential as both a biomarker and therapeutic target. Analysis of Professor Cappello's recent publications reveals a comprehensive exploration of Hsp60 across multiple disease contexts. His 2025 publications demonstrate particular interest in the relationship between Hsp60 and skeletal muscle diseases, digestive system pathologies, and the neuroendocrine system. He is also pioneering connections between molecular chaperones and artificial intelligence applications in biomedical research, while investigating the therapeutic potential of probiotics like Lactobacillus fermentum LF31 in modulating inflammatory pathways and muscle atrophy. Professor Cappello has maintained consistent teaching responsibilities across multiple academic years, instructing Human Anatomy II in Medicine and Surgery programs, Elements of Anatomy in Biomedical Engineering specializations, and Human Morphology courses in Motor and Sport Sciences. His teaching spans both foundational anatomy and specialized applications across various health science disciplines, reflecting his broad expertise in anatomical sciences.

Quan WangView profile

Researcher

• Computational Biology
• Genomics
• Bioinformatics
• +4 more

Quan Wang, Ph.D., is a Researcher in the Department of Molecular Physiology and Biophysics at Vanderbilt University School of Medicine. His work focuses on integrating computational methods with genomic data to address challenges in cancer biology, neurodegenerative diseases, and precision medicine. Key tools developed include REMR for RNA editing analysis, DeepIRES for mRNA site prediction, and TMBserval for tumor mutation burden modeling. Research interests center on multi-omics integration, epigenetic regulation, and applying machine learning to drug discovery and disease gene prioritization. He has contributed to studies on glioma stem cells, Alzheimer’s drug repurposing, and schizophrenia risk gene prediction. Publications highlight advancements in genomic data analysis, including Bayesian frameworks for multi-omics integration and tools like DRAMS for sample quality control. Collaborative efforts span computational biology, cancer genomics, and systems biology, with applications in personalized therapy and disease biomarker identification. No awards or grants are explicitly listed in the provided text. Advising roles and student mentorship details are not specified here.

Simon MoxonView profile

Associate Professor

• Bioinformatics
• Gene Regulation
• Next-Generation Sequencing
• +3 more

Simon Moxon is an Associate Professor in Bioinformatics at the University of East Anglia (UEA), part of the School of Biological Sciences. His research focuses on applying next-generation sequencing (NGS) technologies to study biological problems, particularly small RNA bioinformatics and mechanisms of gene regulation at transcriptional and post-transcriptional levels. He has developed tools like miRCat2 and the UEA sRNA Workbench for miRNA detection and analysis. Notable collaborations include projects funded by the British Heart Foundation, NIH, and the Natural Environment Research Council, exploring topics such as chromatin landscapes, microRNA biogenesis, and epigenetic reprogramming. His work spans plant genomics, developmental biology, and molecular mechanisms in diseases like cancer. Recent publications highlight advancements in understanding miRNA regulation in plants and animals, epigenetic marks during zygotic reprogramming, and antimicrobial resistance in Bacillus species. Moxon actively mentors PhD students and contributes to editorial roles in journals like Frontiers in Molecular Biosciences.

• Cancer Research
• Bioinformatics
• Proteomics
• +3 more

Dr. Rebecca Poulos is an NHMRC Early Career Fellow and Conjoint Lecturer at the Children’s Medical Research Institute, University of Sydney. Her research focuses on cancer genomics, proteomics, and data science, particularly integrating multiomic data to uncover cancer biomarkers and drug response mechanisms. She holds a BBus, BSc (Hons) with a University Medal, and a PhD from UNSW Sydney. Key research interests include cancer driver mutations, proteogenomics, and machine learning for multi-omics integration. Notable achievements include an NHMRC Early Career Fellowship and the Cancer Institute NSW Rising Star PhD Student Award. Her work spans pediatric cancer proteomics, drug response prediction, and reproducible large-scale proteomics. Recent studies highlight her contributions to cancer pathway modeling (DeePathNet), pediatric cancer molecular signatures, and proteomic stratification of prostate cancer. She leads projects funded by NHMRC and Sydney Cancer Partners, advancing precision medicine through proteomics. Her lab is embedded in the Cancer Data Science Group (ProCan), collaborating on pan-cancer proteomic maps and clinical applications.

Sonika TyagiView profile

Associate Professor

• Digital Health
• Bioinformatics
• Machine Learning
• +7 more

Associate Professor Sonika Tyagi leads the Digital Health and Bioinformatics research lab at RMIT University's School of Computing Technologies. She is an affiliate Machine Learning scientist at Monash University and holds leadership roles in the Australasian Institute of Digital Health (AIDH) and Australian Research Council (ARC). Her research focuses on integrating machine learning with genomics and healthcare data to address clinical challenges, such as preterm birth prediction and antibiotic resistance. Research Interests: Multimodal data integration for personalized medicine AI-driven genomics and healthcare analytics Biomedical data standardization and infrastructure Natural language processing of unstructured medical data Key Projects: EHR-QC and EHR-ML pipelines for clinical outcome prediction GenomicBERT for genomic sequence analysis SuperbugAI flagship project on antibiotic resistance Awards: Healthcare Innovator Award 2024 (AI in Health) Women in AI (WAI) Awards Finalist 2022 Brilliant Women in Digital Health 2023 Grants & Funding: NHMRC grants (2017-2025) AISRF EMCR Fellowship (2020) Industry and university grants for equitable AI resources She advises diagnostic startups and collaborates with clinical institutions to translate research into practical solutions. Her lab trains over 30 students, focusing on interdisciplinary data science and computational biology.

• Cardiac Physiology
• Cardiac Pathophysiology
• Cardiac Electrophysiology
• +5 more

Jakub Tomek is a Sir Henry Wellcome Fellow at the University of Oxford, working within the Department of Physiology, Anatomy and Genomics (DPAG) and based in the Zaccolo Laboratory. His research focuses on the intersection of cardiac physiology, computational modeling, and arrhythmia mechanisms. Dr. Tomek's research interests center around cardiac diabetic remodeling, arrhythmogenesis, and pro-arrhythmic drug interactions. He employs a multidisciplinary approach combining whole-heart experiments , subcellular imaging , and advanced computational simulations of human cardiomyocytes. His work bridges experimental cardiology with computational modeling to address critical questions in cardiac electrophysiology and drug safety. His research outputs demonstrate strong trends across cardiac computational modeling, calcium signaling analysis, and arrhythmia mechanisms. The publications reveal a consistent focus on developing computational tools for cardiac research while investigating fundamental mechanisms of cardiac rhythm disorders, particularly in diabetic conditions and post-infarction settings. Sir Henry Wellcome Fellowship - prestigious research award supporting his work on cardiac diabetic remodeling and arrhythmogenesis Dr. Tomek has led the development of several important software tools for cardiac research including ToR-ORd (a computational model of human ventricular myocytes), SparkMaster 2 (for calcium spark analysis), and COSMAS (for cardiac optical mapping analysis). His previous postdoctoral work included positions with Prof. Don Bers at UC Davis, Prof. Neil Herring at Oxford, and Prof. Blanca Rodriguez, focusing on CaMKII function, neuropeptide Y, and computational electrophysiology models. His research group within the Zaccolo Lab focuses on compartmentalized cAMP signaling and its role in cardiac rhythm control, utilizing both experimental and computational approaches to understand fundamental cardiac mechanisms.

Steven L. SalzbergView profile

Professor

• Computational Biology
• Genomics
• Bioinformatics
• +4 more

Steven L. Salzberg is the Bloomberg Distinguished Professor of Biomedical Engineering, Computer Science, and Biostatistics at Johns Hopkins University, where he also serves as Director of the Center for Computational Biology. His research focuses on developing computational methods for DNA analysis from next-generation sequencing technologies, with applications across gene finding, genome assembly, comparative genomics, and evolutionary genomics. Dr. Salzberg's research interests center on computational biology and genomics, with particular emphasis on developing innovative software tools for analyzing DNA and RNA sequences. His work has significantly advanced genome assembly techniques, annotation systems, and the understanding of genomic variation. He maintains a strong commitment to data accuracy, as demonstrated by his recent work debunking flawed cancer microbiome research that made headlines in 2023 and 2025 publications. Analysis of his recent publications reveals a consistent trajectory toward increasingly sophisticated genomic analysis tools. His lab has pioneered methods for splice site prediction (Splam), genome annotation (LiftOn), protein-coding region detection (ORFanage), and assembly polishing (JASPER). The research spans computational methodology development while maintaining strong connections to biological discovery and medical applications. Scientific Recognition: His former postdoc Martin Steinegger awarded the 2024 Overton Prize from ISCB Contributed to the landmark publication of the first complete human genome in Science (2022) Dr. Salzberg actively mentors numerous PhD students and postdoctoral fellows, with recent thesis defenses by Kuan-Hao Chao, Markus Sommer, and Ales Varabyou. His lab has secured substantial research funding supporting multiple graduate students and postdocs working on cutting-edge genomic research. The lab maintains extensive collaborations, particularly with Dr. Mihaela Pertea's group, as evidenced by joint publications and shared lab members working on genome assembly and annotation projects. The Salzberg Lab at Johns Hopkins represents a dynamic research environment with continuous growth and evolution. Recent lab news shows consistent expansion with new members joining across multiple years, thesis defenses by key researchers, and high-impact publications spanning Nature, Science, and specialized genomics journals. The lab's collaborative approach with other research groups has resulted in significant contributions to the field of computational genomics.

Debbie Thurtle-SchmidtView profile

Assistant Professor

• Genomics
• Bioinformatics
• Transcriptional Regulation
• +2 more

Debbie Thurtle-Schmidt is an Assistant Professor in the Biology and Genomics departments at Davidson College. Her research focuses on transcriptional regulation and cellular differentiation in C. elegans , utilizing genomic and genetic approaches to understand how cells develop distinct identities. She can be reached at dethurtleschmidt@davidson.edu or by phone at 704-894-2640. Postdoctoral Studies: University of California, San Francisco (Cellular Molecular Pharmacology) Ph.D.: University of California at Berkeley (Molecular and Cell Biology) B.S.: Santa Clara University (Biology) Dr. Thurtle-Schmidt's work explores genomic regulation in developmental contexts, with particular emphasis on: Transcriptional control mechanisms Epigenetic regulation in cell differentiation Computational analysis of genomic data Environmental influences on gene expression Her recent publications (2020-2024) demonstrate expertise in multi-omics integration , CRISPR technology , and machine learning applications to genomic data, with a focus on C. elegans as a model system. Teaching responsibilities include: BIO 309 Genomics BIO 343 Laboratory Methods in Genomics BIO 240 Biostatistics for Life Scientists BIO/CSC 209 Bioinformatics Programming BIO 115 Molecule, Genes & Cells (+lab) Research is conducted in Wall 325 - Research Lab, with office location at Wall 327.

Emily WongView profile

Associate Professor

• Bioinformatics
• Computational Genomics
• Regulatory Evolution
• +4 more

Associate Professor Emily Wong is a computational genomics researcher at the University of New South Wales (UNSW) and the Victor Chang Cardiac Research Institute. She holds a PhD and MSc in Bioinformatics and Computational Genomics from the University of Sydney and a BSc from UNSW. Her work focuses on integrating big data with in vivo experiments to decipher genetic and molecular mechanisms underlying cell diversity and disease regulation. Education: PhD (Bioinformatics & Computational Genomics), University of Sydney MSc (Bioinformatics & Computational Genomics), University of Sydney BSc, UNSW Research Focus: Regulatory evolution across mammalian tissues Enhancer conservation and function in development Epigenomic reprogramming in disease Iron homeostasis in aging and cancer Cis-regulatory syntax in transcriptional precision Her recent publications highlight cross-disciplinary approaches to understanding enhancer emergence, aging-related stem cell dynamics, and epigenetic therapy in breast cancer. She has received prestigious fellowships including an EMBO Postdoctoral Fellowship and an Australian Research Council Discovery Early Career Fellowship.

Milena HasanView profile

Researcher

• Single-cell transcriptomics
• Immunology
• Infectious disease research
• +5 more

Milena Hasan is a Researcher at the Institut Pasteur in Paris, France, specializing in UTechS Single Cell Biomarkers unit. Her work focuses on cutting-edge single-cell transcriptomics , immune profiling , and cytometry data analysis across diverse conditions including viral infections, autoimmune diseases, and cancer immunotherapy. Lead investigator for multiple projects (TPAI, TTP, VARIANCE) involving single-cell technology training and advanced immune response analysis Key contributor to the Milieu Intérieur program studying immune system heterogeneity She actively develops tools for multi-omics data integration and leads courses on Single Cell Gene Expression and Beyond (2022, 2025) and Advanced Immunology (2025). Her research spans host-pathogen interactions , T cell dynamics , and inflammatory disease mechanisms through innovative technologies like spectral cytometry and single-cell proteomics.