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Juannan ZhouView profile

Professor

• Quantitative Biology
• Evolutionary Biology
• Genotype-Phenotype Mapping
• +3 more

Juannan Zhou is a Professor in the Department of Biology at the University of Florida , where they recently established their research lab. Their work focuses on genotype-phenotype mapping using machine learning , mathematical modeling , and wet lab experiments to understand evolutionary dynamics. Research Lab : Department of Biology, University of Florida Contact : juannanzhou@ufl.edu Key research themes include: Mapping genotype-phenotype relationships in diploid organisms Investigating protein fitness landscapes through unsupervised language models Developing machine-learning assisted directed evolution techniques Studying complex probability distributions over biological sequence spaces Exploring interactions between biochemical constraints and evolutionary outcomes Recent publications demonstrate technical innovations in: Gaussian process priors for sequence-function modeling Field-theoretic density estimation methods Higher-order epistasis analysis Nonparametric Bayesian approaches to biological sequence space Differentiable Smith-Waterman algorithms for sequence alignment The lab actively seeks postdocs, lab technicians, and graduate students interested in machine learning applications in population genetics and evolutionary modeling . Current projects include developing gpmap-tools for genotype-phenotype map visualization and implementing empirical variance component regression frameworks.

Natasha RobinsonView profile

Research Fellow

• Fire Ecology
• Threatened Species Monitoring
• Conservation Biology
• +3 more

Natasha Robinson is a Research Fellow at the Fenner School of Environment & Society, Australian National University. Her work focuses on fire ecology, threatened species management, and conservation biology. She holds a PhD from La Trobe University (2014) and a Bachelor of Agricultural Science (Honours) from the University of Queensland (2004). Research Interests: Fire Ecology and Management Threatened Species Monitoring Adaptive Management Strategies Conservation Biology Reintroduction Biology Recent publications highlight her expertise in mammal behavior, predator-prey dynamics, and genomic studies of endangered species. She collaborates widely, including with the NSW Department of Climate Change and CSIRO Publishing, where she serves as an Associate Editor of Wildlife Research . Her projects integrate fire and predator management to conserve threatened species, emphasizing evidence-based approaches to biodiversity protection.

• Neuroanatomy
• Connectomics
• Neural circuits
• +5 more

Professor Hong Wei Dong is a faculty member in the Department of Neurobiology at the David Geffen School of Medicine, University of California Los Angeles (UCLA). His research focuses on creating comprehensive connectome maps of the C57Bl/6 mouse brain to understand functional network organization and behavioral output mechanisms. He integrates Connectomics Genetics 3D high-resolution imaging Artificial intelligence to explore the fundamental architecture of the central nervous system. Key research directions include: Classification of mouse brain/spinal cord cell types through anatomic, molecular, and physiological properties Development of microscopy/histological technologies for human brain mapping at axonal resolution Application to neurodegenerative disease models (Alzheimer’s, Huntington’s) Recent publications highlight his work on: Visceromotor cortex networks High-resolution brain atlases Thalamic subnetworks Neuronal diversity analysis Advanced image processing tools Transsynaptic tracing methodologies Awardeeship highlights: Suzanne Eaton Memorial Prize Taylor M. Brown Memorial Award His lab develops scalable technologies like Gossamer for petabyte-scale image processing and Morphohub for multi-morphometry generation, while maintaining affiliations with UCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.) and NIH T32 training grants.

Muneer AhmadView profile

Senior Lecturer

• Artificial Intelligence
• Data Science
• Healthcare Informatics
• +3 more

Dr. Muneer Ahmad is an experienced academic with over 22 years of international experience in teaching, research, and academic leadership within Computer Science, specializing in Artificial Intelligence, Data Science, and Healthcare Informatics. He currently serves as Senior Lecturer and Program Lead for the MSc Data Science at the University of Roehampton , UK, having previously held teaching and leadership roles in South Korea, Malaysia, Saudi Arabia, and Pakistan. Education: PhD in AI & Data Science His research is multidisciplinary and application-driven, focusing on AI for healthcare, precision agriculture, and industrial IoT. He leads large, diverse student cohorts and collaborates with academic teams to deliver inclusive education. Recognized as a Senior Fellow of Advance HE (SFHEA) , he emphasizes curriculum innovation and pedagogy. With over 100 peer-reviewed publications and £200,000+ secured funding, his work spans AI in healthcare diagnostics Smart urbanization Genomic data processing Cybersecurity Educational technology Industrial 4.0 He has supervised over 50 PhD/Master's students and serves on editorial boards of journals like Information and Bioengineering . Recent projects include AI-driven crop yield estimation, cervical cancer diagnosis, and pandemic resilience technologies.

Magda BienkoView profile

Associate Professor

• Genome organization
• 3D genome architecture
• Chromatin structure
• +4 more

Magda Bienko is an Associate Professor at the Karolinska Institute and a Fellow of the Science for Life Laboratory in Stockholm, Sweden. She leads the Bienko Group, dedicated to the Quantitative Biology of the Nucleus. Her research focuses on understanding the spatial organization of the genome and its role in fundamental biological processes like DNA replication, transcription, and repair. She has pioneered methods such as BLISS, GPSeq, and iFISH to study genome architecture at single-cell resolution. Education: Bachelor's in Biotechnology, Jagiellonian University (2005) PhD in Biochemistry and Molecular Biology, Goethe University (2011) Research Interests: Chromatin structure, 3D genome architecture, DNA repair mechanisms, and their implications in cancer. Her interdisciplinary approach combines novel sequencing technologies, microscopy methods, and mathematical modeling to explore genome organization. Awards: ERC Starting Grant Advising and Grants: Supervises PhD student Mohit Virdi and has developed cutting-edge methodologies through her ERC-funded research. Her lab collaborates on open-access resources for genomic analysis. Labs/Teams: Leads the Bienko Group at HT (Human Technopole?), focusing on interdisciplinary research integrating quantitative and experimental biology.

• Bioinformatics
• Machine Learning
• Health Informatics
• +3 more

Dr. Matloob Khushi is an academic staff member at the University of Sydney's School of Computer Science, where he has held roles since joining in 2017. He earned his Ph.D. from the University of Sydney and has published over 50 research papers. His research focuses on big data analysis, machine learning applications in health, finance, and genomics, with notable contributions to adverse drug event prediction, bioinformatics tools, and predictive modeling in healthcare. Dr. Khushi's work has been recognized in media for innovations like the MatCol tool aiding cancer research. Education: Ph.D. in Computer Science, University of Sydney (2008). Research Interests: Machine learning for big data, biomedical informatics, financial analytics, and health informatics. Recent articles highlight advancements in graph neural networks, predictive models for chronic diseases, and tools for genomic analysis. He advises two Ph.D. students and collaborates on interdisciplinary projects.

Douglas J. EernisseView profile

Professor

• Animal Phylogeny
• Evolution of Mollusca
• Marine Zoology
• +3 more

Roles and Affiliations: Professor of Biology at California State University, Fullerton (CSUF) since 2005. Previously held roles as Associate and Assistant Professor at CSUF, and positions at the University of Michigan, Friday Harbor Laboratories, and the Smithsonian Institution. Serves on editorial boards of journals like Zoomorphology and Evolution: Education and Outreach . Education: Ph.D. in Biology from UC Santa Cruz (1984), B.A. in Zoology from University of Washington (1977). Research Interests: Focuses on marine mollusks, particularly chitons, limpets, and seastars. Explores animal phylogeny, evolution of visual systems, molecular systematics, and biogeography. Recent work includes studies on chiton shell-eyes, cryptic species in mollusks, and phylogeography of marine organisms. Uses integrative approaches combining molecular genetics, anatomical studies, and field research. Publications and Awards: Over 100 peer-reviewed publications, including work in Science , Proceedings of the Royal Society B , and Molecular Phylogenetics and Evolution . Recognized with an NSF grant (2014-2017) and a NESCent Sabbatical Fellowship (2006-2007). Honored through species naming (e.g., Loricella eernissei ). Teaching: Teaches courses like Field Marine Biology, Biogeography, and Genes & Genomes. Advises graduate and undergraduate students in systematics and molecular evolution labs. Involved in education outreach, including a course for K-12 teachers on teaching evolution. Labs and Collaborations: Leads the Eernisse Lab at CSUF, focusing on mollusk systematics and phylogenomics. Collaborates internationally on projects like chiton phylogeny and Pacific oyster taxonomy. Maintains a fossil chiton database and contributes to malacological research networks.

Randi E ZinbergView profile

Assistant Professor

• Genetic Counseling
• Reproductive Genetics
• Medical Education
• +3 more

Randi E. Zinberg is an Assistant Professor in both the Genetics and Genomic Sciences and Obstetrics, Gynecology and Reproductive Science departments at the Icahn School of Medicine at Mount Sinai. She also serves as Director of the Master of Science Program in Genetic Counseling. Her work focuses on genetic counseling methodology, reproductive carrier screening (particularly in Ashkenazi Jewish populations), and the ethical/social impact of genomic technologies. She collaborates with Maternal-Fetal Medicine faculty on reproductive technologies and women's health outcomes. Education: BS from Newcomb College, Tulane University; MS from Sarah Lawrence College and New York University. Research interests include innovative teaching strategies for medical education, telehealth applications in genomic results disclosure, and recruitment strategies for diverse pediatric genomics studies. She has published in journals like Genetics in Medicine and Public Health Genomics, emphasizing health equity and community engagement. Labs/Teams: Collaborates with the Maternal-Fetal Medicine team and leads the Genetic Counseling education program at Mount Sinai.

Caylin MurrayView profile

Lecturer

• Biology Education
• Genetics
• Science Education
• +3 more

Caylin Murray is a Lecturer and Genetics Lab Coordinator in the Department of Biology at James Madison University since 2013. She holds an M.S. and B.S. in Biology from JMU. Her work focuses on science education, particularly in data representation and pedagogical strategies. Her research includes studies on how experts interpret graphical data, as seen in her 2019 publication in CBE—Life Sciences Education. Murray’s role in the Genetics Lab involves supporting experimental and educational activities within the department. No formal grants or awards are listed, but her contributions to undergraduate and graduate research are integral to the Biology program. She collaborates on initiatives related to genomics and inclusive excellence in STEM education.

Laia Bosch PreseguéView profile

Research Professor

• Biomedicine
• Epigenetics
• Molecular Biology
• +3 more

Laia Bosch Presegué is a Research Professor affiliated with the Universitat de Vic – Universitat Central de Catalunya (UVic-UCC) and the Institute for Research and Innovation in Health Sciences of Central Catalonia (IRIS-CC). Her primary role includes leading the Biomedicine Workshops program, which bridges secondary education and university research in biomedical sciences. She also serves as Principal Investigator at the Josep Carreras Leukemia Research Institute in Barcelona, focusing on epigenetic mechanisms and cancer biology. Her research interests span epigenetics, molecular biology, and biomedical applications, with a focus on heterochromatin regulation, sirtuin enzymes, and the interplay between histone variants and chromatin structure. Collaborations include projects on DCIS lesion progression and sexual health impacts, as well as studies on rhodopsin mutations linked to retinitis pigmentosa. Recent work highlights the functional interplay between HP1 isoforms and H2A.Z in heterochromatin regulation, SIRT1's role in DNA damage signaling, and SIRT6-dependent modifications in tumor suppression. Bosch Presegué's initiatives have engaged over 1,000 high school students in hands-on biosciences labs, fostering early STEM interest. Her contributions span academic research, clinical applications, and science education, emphasizing translational medicine and epigenetic therapeutics.

Jason HodgsonView profile

Senior Lecturer

• Human evolution
• Primate evolution
• The role of culture in human evolution
• +3 more

Dr. Jason Hodgson is a Senior Lecturer in Bioinformatics and Big Data at Anglia Ruskin University, within the Faculty of Science and Engineering's Life Sciences department. His research focuses on human and primate evolutionary genetics, employing bioinformatics and population genomics to explore how cultural practices influence biological evolution, particularly in Madagascar. He joined Anglia Ruskin in 2022 and has held roles at institutions including Imperial College London and Cambridge University. Education: PhD in Biological Anthropology (New York University, 2012), MPhil from Cambridge University, and a BS in Evolutionary Anthropology from Rutgers University. Research interests include human and primate evolution, the interplay of culture and biology, and population genetics. He leads projects on Madagascar’s genetic diversity and Neolithic migration patterns in Europe. He is a member of the Behavioural Ecology and Biomedical Research Groups at Anglia Ruskin. Teaching expertise spans bioinformatics, statistics, and software engineering. His work bridges anthropology, genetics, and computational methods, with recent presentations on topics like cultural influences on genetic diversity and Neolithic human migration.

• Medical Genetics
• Genomics
• Host-Parasite Interactions
• +3 more

Dr. Walt Adamson is a Lecturer in Medical Genetics and Genomics at the University of Glasgow's School of Medicine, Dentistry & Nursing, and a Research Associate in Host-Parasite Interactions & Pathogenesis. His research focuses on infectious diseases, medical genetics, and tropical medicine, with notable contributions to understanding host-pathogen dynamics and global health challenges. He leads interdisciplinary projects such as AFRIDATA, a pandemic surveillance platform for Africa, and collaborates on wildlife conservation initiatives like the Amur tiger vaccination program. Research Interests: - Host-Parasite Interactions - Genomic and genetic analyses of infectious diseases - Public health responses to pandemics and emerging pathogens - Tropical diseases, including African trypanosomiasis and Chagas disease - Immunological correlates of viral protection and disease severity Articles Trends: His work spans from genetic studies of kidney disease associations to epidemiology of SARS-CoV-2, conservation biology in tigers, and immune responses to influenza. Notable contributions include seroprevalence studies in Africa and Nigeria, and molecular diagnostics for hepatitis C. Grants and Collaborations: - MRC-funded projects on trypanosome morbidities and field-based diagnostics. - Wellcome Trust support for sleeping sickness reservoir analysis in Malawi. - Parasite Street Science: Public engagement initiative on tropical diseases. - TrypanoGEN consortium addressing Chagas disease transmission. Labs/Teams: Collaborates with global networks in virology, parasitology, and wildlife health. Active in multidisciplinary teams such as the African Research and Innovation Dashboard (AFRIDATA) and the Amur Tiger Conservation Program.

• Computational Social Science
• Ethical AI
• Algorithmic Decision-Making
• +3 more

Maria Rodriguez is a Principal Research Scientist in the Department of Computer Science and Engineering at the University at Buffalo's School of Engineering and Applied Sciences. Her research explores systems of care across technology and human services, focusing on algorithmic decision-making and ethical AI. She investigates how technology impacts marginalized groups and reorients systems toward outlier cases using computational social science approaches. Education includes: PhD, Social Welfare, University of Washington (2016) MSW, Macro Social Work Practice, University of Pennsylvania (2010) BA, Clinical Counseling and Child Psychology, Alfred University (2005) Her research interests span computational social science, ethical AI, and social policy, with publications exploring digital transformation in social services, structural topic modeling, and technology's role in social justice. Recent work examines generative AI in education, neighborhood change prediction, and online discourse analysis. Awards include the Anthem Award for Human and Civil Rights (2024), EAAMO Best Reviewer (2021), and UW Presidential Dissertation Fellowship (2016).

Bessem CHOUAIAView profile

Researcher

• Microbial Ecology
• Insect-Bacteria Symbiosis
• Bacteria-Arthropod Interactions
• +3 more

Bessem Chouaia is a Researcher at INRAE (since February 2024) and previously held academic roles including Assistant Professor (Tenure Track and non-Tenure Track) at Ca' Foscari University of Venice. He specializes in microbial ecology and symbiotic interactions, focusing on bacteria-arthropod relationships. His work addresses symbiotic control strategies for insect pests and environmental microbiology. Education: PhD in Animal Biology (2010, University of Milan), MSc in Microbiology (2006, Tunis), BSc in Biological Sciences (2002, Monastir). Professional Experience: Extensive postdoctoral research at institutions like Cornell University and the Rowland Institute at Harvard. Research Themes: Symbiotic nutritional interactions, microbial diversity in extreme environments, and biotechnological applications of symbiosis. His recent projects include leading the Maricostems initiative (PRIN 2022) and contributing to EU-funded programs like BIODESERT. He collaborates with institutions in Italy, France, Saudi Arabia, and the USA on symbiosis research. Teaching roles include courses on industrial microbiology and environmental biotechnology. He actively reviews for journals like Frontiers in Microbiology and serves on the British Ecological Society Peer Review College.

Donghyung LeeView profile

Assistant Professor

• Statistical Genomics
• Bioinformatics
• Biostatistics
• +3 more

Donghyung Lee is an Assistant Professor in the Department of Statistics at Miami University. His research focuses on statistical genomics and bioinformatics, particularly in developing computational tools for analyzing genomic data. He holds a Ph.D. in Statistics from Stony Brook University (2011). Dr. Lee’s work emphasizes applications in psychiatric genetics, single-cell RNA sequencing, and genomic imputation. He has developed influential R packages like GAUSS and ZMIX for analyzing cosmopolitan cohorts and estimating ancestry proportions. His research also addresses challenges like batch effect correction in single-cell data and detecting hidden variation in transcriptomes. His recent studies include genome-wide association studies of anxiety disorders, co-expression analyses of schizophrenia genes, and pathway methods to uncover molecular mechanisms of psychiatric disorders. His contributions to statistical frameworks for genomic data analysis have enhanced precision in psychiatric GWAS and functional genomics.