Indraprastha Institute of Information Technology, New Delhi
Dr. G. P. S. Raghava did his M.Tech from IIT Delhi and PhD from Institute of Microbial Technology, Chandigarh. He worked as Postdoctoral fellow at Oxford University UK (1996-98), Bioinformatics specialist at UAMS, USA (2002-3 & 2006) and visiting professor at POSTECH, South Korea (2004). He worked as scientist for 30 years (1986-2016) in Institute of Microbial Technology, Chandigarh. His group developed more than 250 web servers, 200 research papers, 80 Copyrights/patents, 35 databases and mirror sites. He got following major awards/recognition: Shanti Swarup Bhatnagar Award in Biological Science; “National Bioscience Award for Carrier Development” for year 2005-2006 (by Department of Biotechnology, Govt. India); J. C. Bose national fellowship 2010 by DST; fellow of National Academy of Sciences (F.N.A.Sc) and fellow of Indian Academy of Science (F.A.Sc.) Bangalore. His research interests are Bioinformatics Application on Protein Modelling/ Engineering, Genomics and Informatics Solutions for integrating Biology (GENESIS), Integrative approach for designing biomolecules for cancer therapy, Application of bioinformatics in System Biology, and Computational Resources for Drug Discovery.
Dr. Sriram is an associate professor at IIITD. He received PhD from IIT-Madras in 2004, and then went on to do post-doc in various places that includes a two year stint in INRIA, Rocquencourt, France, and at UCSB, USA. His general research interests are systems biology and dynamical system analysis of neuronal models. Presently, he is interested in understanding learning and memory in both Post-traumatic Stress Disorder (PTSD) and depression from systems biology perspective. Besides, his interests also revolves around mathematical modeling of circadian rhythms, cell division cycle, and understanding of biological network dynamics.
Dr. Ganesh Bagler is an interdisciplinary researcher with training in physics, computational sciences and computational biology. He has masters degree in physics, M.Tech in computational techniques, and PhD in computational biology from CSIR-Centre for Cellular and Molecular Biology. He has been working on modeling of biological complex systems, and has investigated protein structures and complex diseases from graph theoretical perspective. He is credited with observation of assortative mixing in residue interaction graph models of protein structures as well as discovery of exceptional ‘negative food pairing’ in Indian cuisine. His research involves questions on the interface of biology, medicine and computational sciences. Broadly, his main areas of interest are Computational biology, Complex networks, Bioinformatics, Modeling and analysis of biological data.
Dr. Tavpritesh is a physician-scientist working at the interface of Data-science and Medicine. He received his M.B.B.S from Government Medical College, Amritsar and Ph.D. from CSIR-Institute of Genomics and Integrative Biology, Delhi. His core expertise is in translating physiological and clinical insights into machine learning models and data-science pipelines. He has received MIT-India TR35 Young Innovator Award for developing an exquisitely sensitive marker for early airway disease and Wellcome Trust/DBT India Alliance Early Career Award for his current focus on forecasting critical outcomes in Pediatric Intensive Care Units. He has a strong clinical base at All India Institute of Medical Sciences, New Delhi and has joined IIITD with a long term vision of co-creating next generation medicine through interfacing of core clinical, biological and computational disciplines. His Research Interests are Big-data for clinical decision support, machine learning for critical care and community medicine, human physiology and Teaching Interests are Statistical, complex networks and machine learning modelling for medicine and biology, human physiology.
Dr. Vibhor Kumar is currently working as an assistant professor at IIIT- D. Prior to this, he was working as a Research scientist at Genome Institute of Singapore. After completing his M. tech from IIT Delhi in 2001, he started his career in biological sciences, mainly working on bioinformatic problems related to structural biology and statistical analysis of biological data. He finished his PhD in 2007 from Helsinki University of Technology (now Aalto), Finland. During his PhD, he solved the first structure of LDL(bad cholesterol) in native state at human body temperature. After completing PhD, Dr Vibhor started applying computational approach to genomic data and worked for 1 year at a personal-genomics company in Malaysia. He is primarily working on chromatin states and gene regulation and applying his findings to other branches such as clinical sciences and stem cell study. His research interests are Genomics, Computational Biology and Statistical Signal processing.
Dr. Debarka Sengupta received his Ph.D. in Computer Sc. and Engineering from Jadavpur University. Afterwards, he spent two and half years as a postdoctoral research fellow at the Genome Institute of Singapore. Before joining IIIT-D he spent a short sting at Machine Intelligence Unit of Indian Statistical Institute as a INSPIRE faculty. Debarka started his professional career as a software engineer working for Infosys and then IBM. He consulted and advised a number of technology and service based firms including IPsoft, Datanomers, CoreCompete and Applied Research Works on various data science and business analytics projects. He received the 2007 spot award by Infosys while working there as a software engineer. His U.S. patent on applied social choice theory was awarded by the patent monetization giant Intellectual Ventures. He has twice been nominated for the prestigious INSPIRE Faculty award - in 2014 and 2016. His research interest lies in applied machine learning and genomics. Some of the publishers of his work include IEEE, Royal Society of Chemistry. Science and Nature. For more than 2 years, he served as a member of the editorial board of Crossroads, a student magazine, published by ACM, New York.
Dr. Arjun Ray is a computational structural biologist and earned his Ph.D. degree from CSIR-IGIB. His formal education in the field of chemistry and biophysics led him to be interested in understanding how biological processes are carried out by three-dimensional interactions. His previous researches include developing methods and tools in the field of structure prediction and force distributed analysis of lipids, deciphering mechanistic understanding of interactions between various biological molecules and working with multi-scale systems. As a structural biologist, he has been regularly working with techniques for structure prediction, molecular dynamics simulations and biomolecular docking. Along with his research endeavours, he has held several positions such former President of Regional Student Group (India) for the International Society for Computational Biology.
Dr. Gaurav Ahuja graduated summa cum laude from the University of Cologne, Germany with PhD in Genetics. He is a molecular biologist by training and possesses a vast experience in functional genomics, especially in dissecting complex biological mechanisms using genome-editing and next generation sequencing-based techniques. After the completion of his PhD degree, he worked as a Post Doctoral Fellow at several renowned institutes, including Center for Molecular Medicine Cologne, Max Planck Institute for Ageing and Lee Kong Chian School of Medicine, Singapore. During this period he worked on multiple model systems, including human pluripotent stem cells, zebrafish, mice and killifish. He has published 14 research articles in peer-reviewed International journals (~250 citations). In addition to this, he also reviewed articles submitted to Nature Publishing Group (Cell Death & Diseases and Scientific Reports). Recently, Dr. Ahuja was shortlisted for the prestigious INSPIRE Faculty Fellowship. His current research interest are: identification, deorphanization and characterization of ectopically expressed GPCRs, understanding the molecular and mechanistic basis of gene regulation during development, diseases and ageing vertebrates.