Find Academic Supervisors

Alice GoddenView profile

Researcher

• Evolutionary Biology
• Developmental Biology
• Genomics
• +3 more

Alice Godden is a Senior Research Associate at the University of East Anglia (UEA), School of Biological Sciences. Currently part of Prof. Immler's lab, her research focuses on understanding how mobile and non-coding genomes respond to environmental changes, particularly in reproductive fitness. She employs model organisms like zebrafish, Xenopus, mice, and cellular systems, using CRISPR-Cas9, genomics, and transcriptomics approaches. Education: PhD in Biomolecular Science (2017–2021), UEA: Investigated miRNAs in Neural Crest under Prof. Wheeler MSc Molecular Medicine (2015–2016), University of Essex BSc (Hons) Bioscience (2012–2015), University Campus Suffolk Research Interests: Evolutionary and developmental biology, with a focus on non-coding RNAs, transposable elements, and their roles in adaptation. Her work integrates genomics, proteomics, and bioinformatics to study environmental impacts on genetic processes. She has contributed to methods like CRISPR-Cas9 knockout systems in Xenopus and developed tools like FishPi for transposable element analysis. Awards: John Gurdon Outstanding Speaker Prize (2021) Presentation Prize at Genetics of Reproduction (2022) UEA Engagement Award (2019) Labs & Collaborations: Current work in the Immler Lab explores transgenerational epigenetic effects via sperm sRNAs. Past experience includes the Münsterberg Lab at UEA. Collaborations span global institutions, focusing on environmental genomics and reproductive biology.

Chun LiangView profile

Professor

• Bioinformatics
• Genomics
• Transcriptomics
• +7 more

Chun Liang is a Professor in the Cell, Molecular and Structural Biology Graduate Program at Miami University. His lab focuses on bioinformatics tool development, biological database construction, and data-driven biological research. Key areas include transposable element analysis, CRISPR-based genome editing, DNA methylation in regeneration, and transcriptome analysis in cancer and developmental biology. Research interests span computational genomics, non-coding RNA biology, and algorithm development for genomic data analysis. Recent work emphasizes CRISPR tool design (e.g., CRISPR-DT, LncDC), transposable element dysregulation in cancer, and epigenetic mechanisms in retina regeneration. Lab develops tools like Generic Repeat Finder and piRNN for genomic sequence analysis Investigates functional roles of transposable elements in disease and development Conducts multi-omics studies on gene regulation networks in eye development Teaches courses including Bioinformatics Computing Skills (BIO/CHM/CSE/MBI 466-566) and Introduction to Programming for the Life Sciences (BIO/CSE/MBI 256).

Alexandru Dumitru NicolaeView profile

Professor

• Digital communications
• QAM modulations
• Markov chains
• +7 more

Professor Alexandru Dumitru Nicolae of the Technical University of Iasi is a distinguished academic in digital communications technology with extensive research contributions across multiple domains. Primary affiliations: Technical University of Iasi Academic rank: Professor Research Interests span digital communications, QAM modulations, Markov chains, and magnetic field analysis. His work bridges classical telecommunication coding schemes with modern applications in photovoltaic systems and biomedical engineering. Recent Publications show evolving focus into Digital Twin frameworks for automotive systems, IoT applications in biomedicine , and EMF exposure analysis across various technologies. While maintaining roots in digital modulation and line code spectral properties , his research has expanded to include electric vehicle propulsion and renewable energy systems . Technical Contributions include seminal work on: Constant envelope modulation techniques Run-length limited coding Phase-locked loop applications Electric field modeling for power lines His methodological approach combines mathematical modeling with experimental validation , particularly in ANSYS Maxwell simulations and finite element analysis for electromagnetic field computations.

Rusty GageView profile

Professor

• Neurogenesis
• Stem Cell Biology
• Neurodegenerative Diseases
• +5 more

Rusty Gage, PhD, is a Professor at the Salk Institute for Biological Studies, leading the Laboratory of Genetics. He holds the Vi and John Adler Chair for Research on Age-Related Neurodegenerative Disease. His work focuses on neurogenesis, neuronal plasticity, and genomic diversity, particularly in the context of Alzheimer’s, schizophrenia, and Parkinson’s disease. Gage’s team models diseases using induced pluripotent stem cells (iPSCs) and brain organoids, pioneering studies on human brain evolution through comparative primate research. His lab has received $19.2 million from the American Heart Association-Allen Initiative to study aging brain mechanisms. Education: BS in Biology from the University of Florida, MS and PhD in Neuroscience from Johns Hopkins University. Research interests include: Adult neurogenesis and environmental influences Stem cell differentiation and disease modeling Genomic mosaicism via mobile DNA elements Age-related neurodegeneration mechanisms Key achievements: Discovered adult human neurogenesis Showed exercise enhances neurogenesis Developed iPS-based models for psychiatric/neurological disorders Grants and awards: Over 20 prestigious honors including the Taylor International Prize in Medicine (2024) and leadership roles in major scientific societies. Labs/Teams: Directs the Gage Lab, collaborating globally on projects like the Brain Somatic Mosaicism Network and Allen Initiative for Brain Science.

• Cancer Research
• Genomics
• Immunotherapy
• +4 more

Dr. Gyan Bhanot is a Professor at Rutgers, The State University of New Jersey, affiliated with the Department of Biological Physics. His research focuses on cancer genomics, immunotherapy biomarkers, pandemic modeling, and machine learning applications in biomedicine. He has advised students including Anshuman Panda (Ph.D. 2018) and Kshitij Wagh (Ph.D. 2013). His work integrates computational methods to study viral evolution, tumor recurrence, and genomic signatures in diseases like renal cell carcinoma and breast cancer. Education details are not explicitly provided in the text, but his extensive publications indicate advanced training in physics and computational biology. His research spans broad areas such as: Cancer immunotherapy response prediction using endogenous retrovirus expression Epidemiological models for SARS-CoV-2 transmission dynamics Machine learning platforms for genomics (e.g., PrismML) Analysis of ribosomal protein variations in malignancies Dr. Bhanot’s articles highlight innovations in predicting pandemic behaviors, identifying cancer biomarkers, and understanding genomic instability in tumors. His recent work addresses critical questions in public health and precision medicine.

Yasir Hashim Ahmed-BraimahView profile

Associate Professor

• Computational Genomics
• Evolutionary Genetics
• Speciation
• +3 more

Yasir Hashim Ahmed-Braimah serves as Associate Professor in the Department of Biology within Syracuse University's College of Arts and Sciences. His research integrates computational and molecular approaches to investigate evolutionary mechanisms of reproductive isolation and speciation, with primary focus on Drosophila and mosquito models. Ph.D. in Biology, University of Rochester (2015) M.Sc. in Biology, University of Iowa (2008) B.Sc. in Biology, University of Iowa (2004) Professor Ahmed-Braimah's research centers on computational genomics and evolutionary genetics , specifically examining the molecular basis of reproductive interactions that drive speciation. His work employs cutting-edge proteomic and transcriptomic techniques to analyze reproductive protein evolution, sperm-female coevolution, and post-mating transcriptional responses. Current projects investigate how sexual selection shapes genomic architecture in Drosophila and disease vectors, with implications for understanding fundamental speciation mechanisms. His recent publications (2020-2024) reveal consistent focus on reproductive genomics across model systems. Key themes include sexual selection genomics, molecular coevolution of reproductive proteins, and vector biology applications. The work demonstrates sophisticated integration of comparative genomics, proteomics, and functional assays, with strong collaborative networks spanning evolutionary biology, entomology, and biomedical research. Principal Investigator: "New Targets for Reproductive Control of Mosquito Vectors" (NIH, 2022-2027) Co-PI: "The Genomic Basis and Molecular Mechanisms of Speciation" (NIH, 2022-2027) PI: "ELC Wastewater Surveillance" (NYSDOH, 2021-2023) Regular NIH study section reviewer for genetics and genomics panels Professor Ahmed-Braimah actively mentors undergraduate researchers through BIO 460 and honors capstone projects, while serving on departmental curriculum and faculty search committees. His teaching portfolio includes Evolution, Integrative Biology Laboratory, and Applied Genomics courses. Research operations involve collaboration with the Pitnick and Dorus labs on reproductive evolution, with current work expanding into vector control applications through mosquito genomics.

Xun GuView profile

Professor

• Comparative Genomics
• Evolutionary Genomics
• Computational Biology
• +5 more

Dr. Xun Gu is a Professor in the Department of Genetics, Development and Cell Biology at Iowa State University. He holds a B.S. (1985) and M.S. (1987) from Fudan University, China, and a Ph.D. (1996) from the University of Texas, Houston. He joined Iowa State University in 1998 as an Assistant Professor, becoming a Full Professor in 2006. Dr. Gu serves on the editorial boards of Molecular Phylogenetics and Evolution and Journal of Experimental Zoology B . He is an AAAS Fellow (2016) and recipient of the Dupont Young Professor Award (2001). His research focuses on evolutionary and comparative genomics, computational biology, and systems biology. Key areas include functional divergence of genes, transcriptome evolution, and the role of gene duplication in genetic robustness. He developed the DIVERGE software suite for analyzing functional divergence in protein families, which has been widely cited. His lab investigates genomic evolution patterns, including gene content phylogeny and evolutionary dynamics of regulatory networks. Dr. Gu’s achievements include over 100 publications, foundational work on gene family evolution (e.g., three-wave duplication model), and contributions to understanding primate brain expression divergence. He also explores evolutionary mechanisms in cancer genomics and tumor-specific neoantigens. His research integrates statistical theory, bioinformatics tools, and large-scale genomic data to address fundamental evolutionary questions. Key awards: Dupont Young Professor Award (2001) AAAS Fellow (2016) Lab affiliations: Gu Lab, Center for Bioinformatics and Biological Statistics at Iowa State University.

• Mitochondrial Genetics
• Rare Diseases
• Genomics
• +3 more

Professor Patrick Chinnery is a leading academic at Newcastle University, holding the rank of Professor with a research focus on mitochondrial genetics, rare diseases, and genomic diagnostics. He plays a pivotal role in the 100,000 Genomes Project, driving innovations in rare disease diagnosis through large-scale genomic analysis. His research centers on mitochondrial DNA dynamics , neurogenetic disorders , and translational genomics . He investigates heteroplasmy inheritance mechanisms, mitochondrial DNA mosaicism across the lifespan, and the genetic basis of conditions like neuromuscular diseases and neurological complications of infections. His work bridges molecular biology with clinical applications, emphasizing diagnostic improvements for rare diseases. Analysis of his 15 most recent publications (2021-2025) reveals consistent emphasis on leveraging single-cell technologies and population-scale genomics to decode mitochondrial disease mechanisms. Key trends include heteroplasmy quantification in human embryos, cardiovascular implications of mitochondrial variants, and addressing data diversity gaps in under-represented populations. His research demonstrates strong interdisciplinary collaboration across neurology, ophthalmology, and hepatology.

• Epigenetics
• Nuclear Structure
• Non-coding RNA
• +4 more

Lisa Hall-Anderson is an Associate Professor at UMass Chan Medical School and affiliated with the T.H. Chan School of Medicine and Morningside Graduate School of Biomedical Sciences . Her research focuses on epigenetics , non-coding RNA , and chromatin regulation , particularly the role of XIST RNA in X-chromosome inactivation and its therapeutic potential for Down syndrome . Education : BA in Biology, Colorado College PhD in Genetics, University of California, Davis Her work bridges fundamental genome regulation with clinical applications , investigating how nuclear RNAs shape chromatin structure and exploring XIST -mediated gene therapy for trisomy 21. She employs transgenics , bioinformatics , and molecular cytology to study RNA-chromosome interactions. Recent publications highlight her contributions to understanding XIST RNA dynamics , chromatin remodeling , and repeat genome functionality . Collaborative efforts with Dr. Jeanne Lawrence emphasize therapeutic applications for chromosomal abnormalities and cancer-specific nuclear structures. Dr. Hall-Anderson’s lab and team focus on nuclear architecture and epigenetic mechanisms in diseases, utilizing induced pluripotent stem cells and mouse models . No formal awards or student advising details are listed in the provided data.

Sarah SchaackView profile

Professor

• Evolutionary Genetics
• Genomics
• Mobile DNA
• +3 more

Sarah Schaack is the Howard Vollum Professor of Biology at Reed College, affiliated with the Department of Biology within the Division of Mathematical and Natural Sciences. She joined Reed in 2011 after completing her PhD at Indiana University and postdoctoral work. Her research focuses on evolutionary genetics, genomics, and the role of mobile DNA in shaping genome evolution. She is particularly interested in mutation rates, transposable elements, and the phenotypic effects of mutations. Dr. Schaack teaches courses on evolutionary genetics and organizes bioinformatics workshops to engage students in cutting-edge genomic research. Her lab provides research opportunities for students, emphasizing collaborative projects where students develop independent research ideas. She has published extensively on topics including mutation dynamics in Daphnia, transposable element evolution, and bumblebee genomics. Her work bridges theoretical and applied aspects of genetics, addressing questions such as how mutation rates vary across environments and populations. She collaborates with institutions like the Kellogg Biological Station and Makerere University, expanding her research into global ecological contexts. Contact information: schaackmobile@reed.edu and schaack@reed.edu.

• Human Genomics
• Structural Variation
• Bioinformatics
• +3 more

Dr. Wen-Wei Liao is a Research Fellow in Genetics at Yale School of Medicine, working in Dr. Ira Hall's lab. His research focuses on advancing genomic methods, particularly in human pangenomics, structural variant detection, and bioinformatics tool development. He is a key contributor to the Human Pangenome Reference Consortium, aiming to address limitations of traditional genome models. Education: PhD in Biology and Biomedical Sciences (2023), Washington University in St. Louis MS in Systems Neuroscience (National Tsing Hua University) BS in Life Science (National Tsing Hua University) Research Interests: Dr. Liao's work bridges computational and experimental genomics. His research emphasizes improving genomic reference frameworks to better understand genetic variation's implications in health and disease. Key areas include pangenome assembly, structural variation analysis, and developing tools for genomic data interpretation. Grants & Collaborations: Liao collaborates extensively with the Human Pangenome Reference Consortium, contributing to foundational work in genomic diversity mapping. His projects often involve interdisciplinary teams addressing challenges in genome assembly and analysis.

Steven ReillyView profile

Assistant Professor

• Genomics
• Epigenetics
• Evolutionary Biology
• +3 more

Steven Reilly is an Assistant Professor of Genetics at Yale School of Medicine. He leads the Reilly Lab, focusing on developing high-throughput experimental and computational tools to study gene regulatory elements and their roles in human evolution and disease. His work integrates CRISPR technologies, machine learning, and evolutionary principles to characterize functional genetic variation. Education: B.S. in Biology (Carnegie Mellon, 2009), Ph.D. in Genetics (Yale, 2015), Postdoctoral training at the Broad Institute (2015–2021). Research interests include non-coding variation, human-specific genomic deletions, and the evolutionary basis of disease susceptibility. Key projects involve Massively Parallel Reporter Assays (MPRA), CRISPR-based functional screens, and computational models to predict variant functionality. The lab’s work addresses how evolutionary selection impacts modern human traits and diseases, with applications in lipid metabolism, infectious disease, and schizophrenia. Recent studies include machine-guided design of cell-type-targeting regulatory elements (Nature 2024) and somatic mosaicism in schizophrenia (Science 2024). Awards include the Bohmfalk Scholarship (2022).

Xianjun DongView profile

Associate Professor

• Computational Genomics
• Transcriptional Regulation
• Non-Coding RNAs
• +4 more

Dr. Xianjun Dong is an Associate Professor of Neurology at Yale University School of Medicine, specializing in computational genomics and systems biology. His research focuses on transcriptional regulation, non-coding RNAs, and multi-omics integration to study neurological diseases such as Parkinson’s and Alzheimer’s. He has developed web-based tools like powerEQTL and FLED, and contributed to projects in the ENCODE consortium. Dr. Dong holds a PhD in Bioinformatics from the University of Bergen and postdoctoral training at UMass Chan Medical School. He has over 40 publications with 24,000+ citations, an H-index of 30, and funding from NIH, APDA, and ASAP. His lab collaborates across disciplines to bridge computational and experimental methods in genome biology. Key research areas include: (1) transcriptional regulation mechanisms, (2) non-coding RNA roles in neurodegeneration, and (3) AI-driven precision medicine using multi-modal data integration. Recent work highlights circular RNA roles in neuropsychiatric diseases and enhancer-driven genetic risk pathways. Awards include NIH grants (R01, U19, etc.) and APDA support. His lab’s projects involve public datasets and experimental data generation, with a focus on collaborative discovery in genomic medicine.

• Genomics
• Evolutionary Biology
• Structural Variation
• +3 more

Mahul Chakraborty is an Assistant Professor at Texas A&M University's Department of Biology. He joined the department in 2022, focusing on genomic and molecular mechanisms underlying phenotypic variation and adaptation. His research employs cutting-edge methods in quantitative genetics, genomics, and genome editing, using model organisms like Drosophila melanogaster and non-model species such as the malaria vector Anopheles stephensi . Education: B.Sc. Zoology (University of Calcutta, 2005), M.Sc. Biotechnology (IIT Roorkee, 2007), Ph.D. Biology (University of Rochester, 2014). Postdoctoral research at the University of California (2014–2019). Research interests include structural variations (SVs) in genomes, their roles in disease and adaptation, and the evolutionary dynamics of repetitive genomic regions in sexual dimorphism. His lab investigates how repetitive DNA in sex chromosomes (e.g., Y/W chromosomes) drives sexually antagonistic traits. Recent work highlights SVs' impact on Anopheles stephensi 's invasive success and the genomic basis of UV color vision in butterflies. Publications span structural variant analysis, comparative genomics, and evolutionary biology, with a focus on malaria vectors and Drosophila. His lab's tools, like the SVGAP pipeline, advance structural variant detection in population studies. No scientific awards are explicitly mentioned, but his contributions to genomics and evolutionary biology are notable. Lab activities include genome editing, functional genomics, and collaborative projects on vector biology. Future work aims to dissect repetitive genome functions and their evolutionary roles in sexual conflict and adaptation.

Trevor W. SiggersView profile

Associate Professor

• Systems Biology
• Gene Regulation
• Immune and Inflammatory Systems
• +3 more

Trevor W. Siggers is an Associate Professor of Biology at Boston University, affiliated with the Department of Biology. His research focuses on systems biology and gene regulation in immune and inflammatory systems, integrating biochemical and genomic approaches. He leads a lab exploring cis-regulatory logic and transcriptional networks, with projects centered on NF-κB and immune transcription factors. Education: PhD from Columbia University. Courses taught include BI 560 (Systems Biology) and BI 385 (Immunology). His lab uses techniques like protein-binding microarrays (PBMs) and ChIP-seq to model gene regulatory mechanisms, particularly in innate immune cells. Collaborations include work with the Gilmore Lab and the Immunological Genome Project. Key research themes include transcriptional regulatory codes, NF-κB dimer interactions, and the impact of environmental factors on immune responses. The lab has published extensively on transcription factor binding specificity, with recent work on NF-κB evolution in protists and its role in symbiotic systems. Students advised include Jessica Keenan, Ashley Penvose, and Kellen Andrilenas, among others, who have received awards like the DeLisi Award and Belamarich Dissertation Award. Lab location: LSEB 306, 24 Cummington Mall, Boston. Contact: tsiggers@bu.edu.