The elections for the MCBIOS Board of Directors and the President will be carried out as part of the annual MCBIOS Business Meeting at 4:00PM on Monday, April 26.
This year we have two candidates running for the President position. Also, there are two candidates running for the two available Board of Directors positions. Please review their biographies below.
During the conference, each candidate will give a brief live presentation using the Zoom meeting accessed through the Whova online platform. The live presentations will be recorded for viewing following the business meeting.
Voting for the candidates will be conducted through Whova and the online poll will remain open until 2:00PM on Tuesday, April 27th. The poll can be accessed through the MCBIOS Business Meeting link in the program. The outcome of the elections will be announced during the closing remarks of the meeting.
My professional experience as a scientist spans more than 17 years during which I have served in several capacities at different organizations, as an educator, principal investigator and research mentor. My organizational experience in addition to MCBIOS includes working with the American Physiological Society, (APS) organization for over 8 years. I have also served as local outreach coordinator for INBRE research programs, K-12 science programs and science teaching fellowship program. For several years, I have worked within the field of immune genomics with industry partners to help outline standards for data capturing and data analysis of immune repertoire sequence data in the adaptive immune receptor repertoire (AIRR) community (Antibody Society). Additionally, I am an associate editor for Frontiers in Bioinformatics and a participating member in the NSF-funded Network for Integration of Bioinformatics in Undergraduate Life Sciences. I have been an MCBIOS member for a number of years and previously served as the MCBIOS Secretary. I have obtained research grants and awards over the years including most recently receiving a grant from Adaptive Biotechnologies for my research program in Acute Respiratory Distress Syndrome. I was also named a University of Dallas King Haggar Research Scholar, 2021. Throughout the years, other awards I have received include: NIH pre-doctoral fellowship, AAAS post-doctoral fellowship, FASEB (Experimental Biology) trainee award, and American Physiological Society (APS) fellowship and travel award. I enjoy mentoring students, educating the next pipeline of scientists, developing tools and engaging in collaborative research projects.
Dr. Qin is currently a Professor in the Department of Biostatistics and Bioinformatics at Emory University. He is also an affiliated faculty member at the Department of Biomedical Informatics, Emory University School of Medicine. Dr. Qin received his Ph.D. in Statistics from University of Michigan in 2000. He has 18 years of experience in statistical modeling and computing with applications in statistical genetics, genomics and epigenomics. He also actively collaborates with biomedical scientists and clinicians on projects that utilize high throughput technologies to study complex diseases. Dr. Qin has published more than 130 peer-reviewed publications with more than 22,000 citations according to Google Scholar. Dr. Qin is an active member of the Bioinformatics research community by participating in review panels, serving on journal editorial boards and organizing workshops and invited sessions in conferences. He leads a Bioinformatics research group at Emory and also serves as the director of graduate studies in his department.
Dr. Daigle is an Assistant Professor of Biological Sciences and Computer Science at the University of Memphis (UofM). He received his B.S. in Biology from Cornell University and his Ph.D. in Genetics from Stanford University, and he conducted postdoctoral research in the Computer Science Department at the University of California, Santa Barbara. Dr. Daigle’s research interests include computational identification of disease biomarkers, multi-omics data integration, and single-cell systems biology. He has coauthored over 30 peer-reviewed publications in areas of computational biology aligned with his research interests, and his work is currently supported through a grant from the Army Research Office. In 2018, Dr. Daigle received an Early Career Research Award from the UofM College of Arts and Sciences. At UofM, Dr. Daigle currently serves as a Faculty Affiliate of the Bioinformatics Program, a member of the high-performance computing group (CROMIUM), and a founding advisory board member for the Center for Biodiversity Research (CBio). He has held membership with the International Society for Computational Biology (ISCB), the Society for Industrial and Applied Mathematics (SIAM), and the Society of Biological Psychiatry (SOBP). To date, Dr. Daigle has mentored two high school students, six undergraduates, and eight graduate students in research, including three M.S. students from the UofM Bioinformatics Program.
Dr. Tan is the Vice-Chair and Senior Member of the Department of Biostatistics and Bioinformatics at the H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL. He is also the Associate Scientific Director for the Biostatistics and Bioinformatics Shared Resource at the Moffitt Cancer Center. His research interests are translational bioinformatics and cancer systems biology, primarily by developing computational and statistical learning methods for the analysis and integration of high-throughput cancer “omics” data in understanding and overcoming treatment resistance mechanisms in cancer. His lab acts as a “connector” to provide seamless integration of computational and statistical methods in experimental and clinical research. He has more than 15 years of research experience in translational bioinformatics and cancer systems biology, with more than 200 peer-reviewed publications. He also co-edited two books in bioinformatics and cancer systems biology.
Prior to joining Moffitt Cancer Center, he was an Associate Professor of Bioinformatics at the University of Colorado Anschutz Medical Campus. He has extensive experience in mentoring junior faculty, research fellows and graduate students. He has created new courses and certificate program in Biomedical Data Science at the University of Colorado Anschutz Medical Campus. Dr. Tan has been the Member of the International Society of Computational Biology (ISCB) since 2002, and has been involved in organizing committee of ISMB/ECCB 2004. He is also previously served as program committee for multiple ISMB or ECCB conferences. He currently served as the Editorial Board Member for Scientific Reports, Molecular Carcinogenesis, BMC Systems Biology and Cancer Informatics.