Group leader biological NMR spectroscopy at the Institute of Biological Interfaces (IBG4), Karlsruhe Institute of Technology
Previous: Emmy-Noether-Fellow at Max-Planck Institute for Medical Research Heidelberg and visiting Team Leader at the European Moleular Biology Lab, Heidelberg.
Sushma Naithani is an Associate Professor Senior Research in the Department of Botany and Plant Pathology at Oregon State University, USA. The current focus of her research is on understanding information flow in living systems and how evolution shapes this flow using systems-level pathway modeling supported by high-quality biocuration, gene-orthology-based predictions, and analysis of omics data. She serves as a senior curator for the Plant Reactome knowledgebase. Sushma has authored 31 peer-reviewed refereed research articles in high-impact journals, including Nature, Nature Biotech, PNAS, etc. One of her research papers has been selected by the 'Faculty of 1000 Biology'. In addition, she has authored six book chapters and one Open Textbook (S. Naithani (2021): History and Science of Cultivated Plants published by Oregon State University Open Educational Resources, EBOOK ISBN: 978-1-955101-08-0, available at https://open.oregonstate.education/cultivatedplants). She is also an Associate Editor for Frontiers in Plant Science-Plant Biotechnology and served as the Editor-in-chief of the Current Plant Biology (2017-2023).
Associate Professor, Systems & Structural Computational Pharmacology. University of Montreal, Canada. Postdoc EMBL-EBI. PhD Physics & Biology, Weizmann Institute of Science, Israel. MSc Statistical Biological Physics & BSc. Molecular Sciences, University of São Paulo, Brazil.
Principal Scientist, Atomwise. Adjunct associate professor of biochemistry and biophysics at Kansas State University. Research in computational/AI and structure-based drug design, biophotonics, machine learning for chemistry and drug discovery, protein crystallography.
Corey Nislow's laboratory develops and uses cutting edge tools to address this central question: how can we understand the biological commonalities in all of the life sciences; from embryonic development, to the spread of infectious diseases to better ways to treat cancer. Each of these disciplines can be explained in the context of competition, interaction and evolution. His lab studies the interface between genes and the environment using parallel genome-wide screens, high throughput cell-based assays and next generation sequencing. Most recently, he and his scientific partner, Dr. Guri Giaever, are exploring how laboratory experiments can co-opt evolutionary processes to understand drug action. He enjoys teaching all aspects of biotechnology, genomics and drug discovery. He got his PhD from the University of Colorado, worked at several Biotechnology companies and was at Stanford and University of Toronto before joining UBC in 2013. He has published 161 papers and run 19 marathons.
Associate professor at Federal University of Santa Maria, Brazil. My current research interests center around the pharmacology and toxicology of organochalcogen compounds. Scopus researcher award/2010.
Dr. Ali Noman received his PhD from Fujian Agriculture and Forestry University, Fuzhou, China. His research and teaching interests include plant-environment Interaction, plant immune responses, and plant survival tactics under changing environments. Currently He serves as an Assistant Professor of Botany at the Government College University, Faisalabad.
He has published many papers in peer reviewed and world renowned journals, such as Science of the Total Environment, Environmental Pollution, Environmental and Experimental Botany, Chemosphere, Environmental Research and many international conferences. Dr. Noman also serves as member of editorial boards and editor for different journals.
Chief, Division of Infectious Diseases, Children's Hospital of Philadelphia
The primary research goals of our lab are to understand the biological functions of specific metabolic pathways in the malaria parasite--that is, to understand what the parasite needs to make, and why it needs to make it.
Dr. Ogunwobi obtained a medical degree from the University of Ibadan, Nigeria, a master's degree in biomedicine from the University of Hull, United Kingdom, a master's degree in clinical and translational science from the University of Florida, Gainesville, and a PhD in molecular biology from the University of East Anglia, Norwich, United Kingdom. He was the Founding Director of the Hunter College Center for Cancer Health Disparities Research. He is now the Barnett Rosenberg Professor of Biochemistry and Molecular Biology and Chairperson in the Department of Biochemistry and Molecular Biology at Michigan State University. In addition, he will serve as Co-Director of the forthcoming Center for Cancer Health Equity Research (CCHER) at Michigan State University. He is a translational cancer biologist whose work focuses on molecular mechanisms of progression of solid organ cancers with racial disparities, and on approaches to leverage non-coding RNA biology for potential clinical applications in cancer. His work has been funded by the National Institutes of Health, New York State, Carnegie Corporation of New York, and the National Science Foundation, among others. Dr. Ogunwobi was a Founding Contact Principal Investigator of the Synergistic Partnership for Enhancing Equity in Cancer Health (SPEECH) funded by U54 grants CA221704 and CA221705 from the National Cancer Institute. An author of 74 peer-reviewed journal articles and 3 book chapters, Dr. Ogunwobi has been issued 5 US patents for biotechnology inventions with potential clinical applications in cancer. He is the recipient of the 2022 Hunter College Presidential Award for Excellence in Scholarship or Creative Activity, and selected as a Jefferson Science Fellow by the National Academies of Sciences, Engineering, and Medicine, and as a Fellow of the Academy of Medicine Specialties of Nigeria. He is Co-Founder of UTR Therapeutics, Inc (winner of the 2023 XSeed Award from Deerfield), and NucleoBio, Inc.
Doctor Sonia Oliveira holds a Licenciatura in Biology (pre-Bologna) and a Master in Cellular and Molecular Biology from the University of Aveiro, where she also specialized in medicinal plants, toxicology, murine models, and spermatogenesis. In 2011 she moved to Australia to work in Reproductive Biological Sciences. She later explored the nerve-cancer connection in Cancer, namely in female cancers, and completed her Ph.D. in Human Physiology ( with a significant component in Medical Biochemistry and Neurophysiology) from the University of Newcastle (Australia) in 2018. She then worked with biomimetic systems and nanotechnology in diabetes and stem cells. She explored multiple methods for primary and secondary cell culture, always with a keen interest in histopathology, cell biology, and rare disorders. Participated in >40 event(s). (Co-)Supervised MSc dissertation(s) and final projects for course completion of LSc/BSc. And works mostly in the area(s) of Natural sciences with emphasis on Molecular and Cellular Biology, and Medical and Health Sciences with emphasis on Neurosciences, Cancer, Reproduction, Toxicology, Biotechnology, and Stem cells. Also has collaborations in Microbiology, Biomaterials, and Communication and Information technologies.
EDUCATION
University of Texas at El Paso (9/75-8/78), B.S. in Biology, 1978
University of Texas at El Paso (1/83-12/86), M.S. in Biology, 1986
Kansas State University (8/86-5/91), Ph.D. in Biochemistry, 1991
PROFESSIONAL
• Research Molecular Biologist (GS-15), CGAHR, Manhattan, KS (4/91-present)
• Adjunct Professor, Department of Entomology, Kansas State University (1/99-present)
I can best describe myself as a simulation biologist. I am interested in simulating life processes at multiple scales. From the atomic scale to understand protein function to cellular or systems scale to understand physiological processes. My main tool is the computer which I use to analyze, understand and predict biology. Secondary tools are in vitro biochemistry and biophysics experiments that I use to validate my predictions.