Ana Rita Grosso is an Assistant Professor at NOVA University Lisbon's Faculty of Science and Technology. She leads the Computational Multi-Omics Lab (CompMultOmics@UCIBIO), focusing on understanding genome biology and its disease implications through computational approaches. Her research integrates multi-omics data (genomics, proteomics, transcriptomics) with clinical information to study: Cancer evolution and intra-tumor heterogeneity Epigenetic regulation in disease Transcriptional readthrough and pseudogene detection Metabolic control of cellular states Immune evasion mechanisms She develops statistical methods for high-throughput sequencing, microarray, and proteomic data analysis. Recent publications (2015-2022) demonstrate strong focus on: Pan-cancer analyses of genetic/epigenetic heterogeneity Innovative model systems (zebrafish xenografts) Transcriptional regulation mechanisms Computational method development Renal and colorectal cancer biology Work appears in high-impact journals including Nature Cell Biology, Cell, and Nature Communications. She actively trains MSc/PhD students and teaches computational biology courses to address bioinformatics skill gaps in research. Her lab promotes seminars for researchers across career stages.
Aladje Baldé serves as Assistant Professor and Dean at Jean Piaget University of Guinea-Bissau, where he leads academic and administrative operations. His career bridges molecular biology research and public health initiatives in West Africa, with affiliations extending to the Foundation of the Faculty of Sciences of the University of Lisbon and international collaborations through WANECOV and EuropeAid projects. His educational background includes a PhD in Biotechnology from the University of Lisbon (2002), two postdoctoral specializations in Molecular Biology (2002-2005, 2008-2012), postgraduate training in Medical Microbiology (1997), and a License in Biology from Moldova State University (1992). PhD in Biotechnology, University of Lisbon (2002) Postdoc in Molecular Biology, University of Lisbon (2008-2012) Postdoc in Molecular Biology & Biotechnology, University of Lisbon (2002-2005) Postgraduate in Medical Microbiology, Nova University Lisbon (1997) License in Biology, Moldova State University (1992) Baldé's research integrates molecular techniques with field applications across two primary domains: plant pathology (focusing on cashew diseases in Guinea-Bissau) and public health (addressing HIV resistance and adolescent behavior). His work combines DNA barcoding, metagenomics, and epidemiological surveys to develop sustainable agricultural practices and health interventions in resource-limited settings. Recent projects emphasize cashew gummosis pathogen identification and community-based Moringa water purification systems. Analysis of his 15 most recent publications (2020-2022) reveals a strategic pivot from pure molecular biology toward applied public health and agricultural solutions. Over 60% of recent work addresses cashew pathology and adolescent health in Guinea-Bissau, reflecting localized problem-solving through interdisciplinary methods. Key trends include fungal pathogen surveillance (Botryosphaeriaceae, Lasiodiplodia), HIV resistance mitigation in pregnant women, and sociological studies of digital technology access among adolescents. Baldé actively mentors through co-advising PhD candidates and leads multiple funded projects including HIPWAN2 (HIV resistance in West Africa), END-VOC (COVID-19 variants), and EuropeAid governance initiatives. His research network spans Portugal, Iceland, and Guinea-Bissau, with collaborations through the University of Lisbon and WANECOV consortium. He directs field operations for the Jean Piaget University of Guinea-Bissau's agricultural research unit, coordinating teams for cashew disease monitoring and Moringa-based water purification pilots in Bissau communities. His work integrates molecular labs in Lisbon with field stations across Guinea-Bissau's cashew-growing regions.
Andrew J Sharp is a Professor in the Department of Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai. He serves as Co-Director of the Graduate Program in Genetics and Genomic Sciences and directs two graduate courses: BSR2400 Translational Genomics and BSR4401 Genetics and Genomics Journal Club. Professor Sharp leads the Sharp lab, an integrated research environment combining experimental and bioinformatic approaches to study the human genome and disease through a 'reverse genetics' strategy. His research focuses on structural variation, epigenetics (particularly DNA methylation), gene expression, and tandem repeat DNA, with applications to understanding mental retardation syndromes, autism, schizophrenia, diabetes, epilepsy, multiple sclerosis, Alzheimer's disease, and neural tube defects. His research has led to significant discoveries, including identifying genetic syndromes accounting for approximately 2% of mental retardation cases worldwide and discovering the most common genetic risk factor for epilepsy. His work has been published in top journals including Nature Genetics and The New England Journal of Medicine . Professor Sharp's publication record shows a strong focus on genomic technologies and their application to human disease, with recent work emphasizing tandem repeat variation, phenome-wide association studies, and epigenetic mechanisms in neurodegenerative disorders. His notable awards include: 2009 Young Investigator Award for Outstanding Science from the European Society of Human Genetics 2006 Trainee Award (postdoctoral) from the American Society of Human Genetics 2002 Trainee Award (predoctoral) from the American Society of Human Genetics Professor Sharp welcomes students interested in human genetics and genomics research, offering a diverse environment for gaining exposure to innovative research areas. His lab provides opportunities for both experimental and computational research in human genome studies, with a focus on translating genomic discoveries into understanding human disease mechanisms.
Dr. Shrikant Mane is a Professor of Genetics at Yale School of Medicine, where he directs the Yale Center for Genome Analysis (YCGA) Shared Resource and The Keck Biotechnology Resource Laboratory. He has over 25 years of research experience in both academic and private industry settings, with expertise in genomic and proteomic analyses using microarray and high-throughput DNA sequencing technologies. Dr. Mane received his Ph.D. in Cancer Biology in 1985 and completed his postdoctoral training at Johns Hopkins University School of Medicine. He has published over 125 scientific articles and holds 2 patents. His research spans genetics, genomics, DNA sequence analysis, neuroscience, and cancer biology, with a particular focus on Mendelian genomics and disease gene discovery. His laboratory work has provided over 58,000 sequence analyses to 225 Yale and 124 non-Yale principal investigators from 72 national and 16 international institutions. Dr. Mane is one of four Principal Investigators of the Yale Center for Mendelian Genomics, established in 2012 through an $11.2 million grant from NHGRI. His recent publications (2023-2025) demonstrate a strong focus on identifying genetic causes of kidney disorders, congenital heart disease, and neurodevelopmental conditions through large-scale genomic studies published in high-impact journals including Nature, Nature Communications, and PNAS. Notable Achievements: Principal Investigator of the Yale Center for Mendelian Genomics ($11.2 million NHGRI grant) Director of Yale Center for Genome Analysis serving hundreds of researchers worldwide Published over 125 scientific articles in genetics and genomics Extensive experience with genomic technologies spanning 25+ years Dr. Mane's laboratory serves as a major resource for genomic analysis at Yale and beyond, supporting numerous research projects through cutting-edge sequencing and analysis capabilities. His research program bridges technological development with clinical applications, particularly in the area of Mendelian disease gene discovery.
David Rimm is the Anthony N. Brady Professor of Pathology in the Departments of Pathology and Medicine (Oncology) at Yale University School of Medicine. He serves as Director of Yale Pathology Tissue Services and the Lab for Quantitative Diagnostics in Anatomic Pathology. Dr. Rimm is a leading researcher in quantitative pathology with over 500 peer-reviewed publications and an H-index of 120. Dr. Rimm completed his MD-PhD at Johns Hopkins University Medical School followed by a Pathology Residency at Yale and a Cytopathology Fellowship at the Medical College of Virginia. His academic journey has positioned him as a key figure in cancer biomarker research and diagnostic development. Dr. Rimm's research primarily focuses on quantitative pathology and cancer biomarker development. His lab pioneered the AQUA method of quantitative immunofluorescence, published in Nature Medicine in 2002, which has been cited over 875 times. His current work involves developing quantitative methods for predicting response and resistance to targeted and immune-therapy in cancer, with particular focus on breast, lung, and melanoma cancers. His lab utilizes high-plex methods including digital spatial profiling for new biomarker discovery and is actively working on standardization of assays for CLIA labs. Analysis of Dr. Rimm's recent publications (2024-2025) reveals a strong focus on quantitative biomarker development for precision oncology, particularly in breast cancer, lung cancer, and melanoma. His work spans from basic method development (quantitative immunofluorescence, AI-driven assessment) to clinical application (companion diagnostics, HER2 testing, antibody-drug conjugate therapies). The publications demonstrate a consistent theme of translating quantitative pathology methods into clinical practice. Lauren Ackerman Lectureship (2008) Starwood Commitment Award (2004) Dr. Rimm's research is supported by grants from the NIH, Breast Cancer Research Foundation (BCRF), and sponsored research agreements from biopharma companies. His lab actively collaborates with industry partners to translate research findings into clinical applications. With over 500 publications and 8 patents, his work has significant impact in the field of quantitative pathology and cancer diagnostics. Dr. Rimm leads the Rimm Lab for Quantitative Diagnostics in Anatomic Pathology, which focuses on developing innovative quantitative approaches to pathology. The lab's work spans from basic research on quantitative methods to clinical translation of diagnostic assays. The lab utilizes tissue microarray technology, high-plex in situ assessment, and quantitative imaging to predict response to cancer therapies.
Charles Kooperberg serves as Professor and Program Head of the Biostatistics Program within the Public Health Sciences Division at Fred Hutchinson Cancer Center, where he is also a Member of the Translational Data Science Integrated Research Center (TDS IRC). Additionally, he holds an Affiliate Professor appointment in Biostatistics at the University of Washington. His educational background includes: PhD in Statistics from University of California, Berkeley (1991) MA in Statistics from University of California, Berkeley (1988) BSc in Mathematics from Delft University of Technology (1985) Dr. Kooperberg specializes in statistical genetics and high-dimensional data analysis, developing novel biostatistical methods for genome-wide association studies (GWAS) using SNP genotyping, microarray gene expression, and proteomics data. His research focuses on extracting biological insights from complex patient datasets to understand disease mechanisms, improve risk prediction models, and advance personalized medicine applications. He leads the Kooperberg Lab which pioneers statistical techniques for genomic and proteomic data interpretation, and serves on the steering committee of the Women's Health Initiative studying chronic diseases in postmenopausal women. Recent work highlighted in Fred Hutch publications addresses inflammation biomarkers, DNA-based risk scores, and diversity in genetic research. No scientific awards were specified in the source material. Information about student advising and research grants was not provided in the available text.
Nicolas Touzet is a Lecturer and Principal Investigator in the Department of Environmental Science at the Institute of Technology Sligo, Ireland. His research focuses on marine ecology, water quality, microalgal biotechnology, and harmful algal blooms, with particular emphasis on Irish coastal and freshwater systems. His primary research interests include: Phycoremediation of wastewater using microalgae Molecular identification of toxic phytoplankton species Bioactive compound production from microalgae Climate change impacts on aquatic ecosystems Development of molecular detection methods for harmful algal blooms Dr. Touzet leads the SFI-funded METALGAE project (€389,000) focused on "Physiology and molecular biology of microalgae for the biorefining of valuable metabolites." His publication record demonstrates consistent research output in microalgal applications for bioremediation and high-value metabolite production, with recent work emphasizing LED lighting optimization for pigment production and antioxidant bioprospecting from Irish marine heterokonts. His scientific contributions include: Development of molecular detection methods for toxic algae Advancement of microarray technology for phytoplankton monitoring Landmark studies on Alexandrium species in Irish waters Applications of microalgae for landfill leachate treatment Dr. Touzet has supervised multiple research projects and collaborated extensively with institutions across Ireland and Europe, particularly on harmful algal bloom monitoring and microalgal biotechnology applications. His laboratory at IT Sligo focuses on advancing microalgal applications for environmental and industrial purposes.
Dr. Guichuan Hou serves as Professor and Director of the Electron Microscope Facility within the Department of Biology at Appalachian State University. He leads the William C. and Ruth Ann Dewel Microscopy Facility, providing technical and administrative support to over twenty faculty members and numerous graduate/undergraduate students across Biology, Chemistry, Geological and Environmental Sciences, Physics and Astronomy, and Health Sciences departments. His research centers on plant root development mechanisms using model species like Ceratopteris richardii, Arabidopsis, and maize, employing advanced microscopy techniques including light/confocal microscopy, SEM, and TEM. Current initiatives focus on correlative light-electron microscopy (CLEM), EM tomography, and AI-driven image analysis for plant biology applications. Analysis of his 2005-2024 publications reveals consistent contributions to plant cell wall biochemistry, microscopy methodology, and genetic regulation of growth processes. Key recurring themes include lignin biosynthesis pathways, root system formation, and stress response mechanisms, often through interdisciplinary collaborations. Dr. Hou has secured over $2 million in external funding through major NSF grants: NSF MRI DBI-1625779: $430,900 for Laser Scanning Confocal Microscope (2016-2020) NSF MRI EAR-1625137: $561,842 for SEM with EDS/EBSD/CL (2016-2020) NSF MRI DBI-0922697: $509,620 for TEM acquisition (2009-2012) Burroughs Welcome Fund: $180,000 for AppalSEED Academy (2008-2011) He actively serves on graduate thesis committees and collaborates with microscope manufacturers on instrument development. The Microscopy Facility under his direction maintains state-of-the-art instrumentation for multi-modal imaging, supports university-wide research/teaching missions, and engages regional communities/industries for specialized microscopy services and outreach initiatives.
José Antonio Castellanos Garzón serves as an Associate Professor in the Department of Computer Science and Automation at the University of Salamanca, where he is affiliated with the Biomedical Research Institute of Salamanca (IBSAL) and leads the ESAL Expert System and Applications Lab (ESALAB). He earned his doctorate from the University of Valladolid in 2013 with a thesis on evolutionary frameworks for DNA microarray cluster analysis, supervised by Dr. Fernando Díaz Gómez. His academic foundation bridges computer science and biomedical applications through advanced computational methodologies. His research spans Bioinformatics, Artificial Intelligence, Machine Learning, Data Mining, Evolutionary Computation, and Biomedical Informatics, emphasizing algorithmic solutions for genomic data analysis. Previously, he contributed to the BISITE research group focused on Bioinformatics, Intelligent Informatic Systems, and Educational Technology, demonstrating cross-disciplinary expertise in computational biology and AI-driven healthcare systems.
