Prof. R. Sowdhamini is an Indian computational biologist, bioinformatician and a professor at the department of biochemistry, biophysics and bioinformatics of the National Centre for Biological Sciences (NCBS), a TIFR research facility located in Bengaluru. She is well-known for computational studies in the field of Protein Science. Prof. Sowdhamini is also associated with the Institute for Stem Cell Biology and Regenerative Medicine as a collaborator and is an elected fellow of the Indian Academy of Sciences as well as the Indian National Science Academy. The Department of Biotechnology of the Government of India awarded her the National Bioscience Award for Career Development, one of the highest Indian science awards, for her contributions to biosciences in 2007.

Dr. Jayaraman has been with the Council of Industrial and Scientific Research (CSIR), India since 1976. He worked as a senior scientist in the chemical engineering division of the National Chemical Laboratory, a constituent laboratory of the CSIR until his retirement in April 2009. After retirement till January, 2012 he was a CSIR Emeritus Scientist at the Center for Development of Advanced Computing (CDAC), Pune Currently he is a Visiting Professor at the Informatics Center, Shiv Nadar University, UP, India and a consultant at CDAC, Pune. CSIR emeritus Scientist at the Center for Development of Advanced Computing. Dr. Jayaraman had done his Bachelors and Masters in Chemical Engineering from Madras University and his doctorate from Pune University. His research areas of interest include modelling and simulations in chemical and biochemical engineering, process modelling, control and optimization. For the last ten years he has been working on applications of Machine Learning and Artificial intelligence to chemically reacting systems, process fault detection and monitoring, information security & chemo & bioinformatics.

Prof. Suresh Sharma completed his Ph.D in 1994, from Panjab University, Chandigarh, India and at present working as Professor, Department of Statistics Panjab University, Chandigarh, India. He was also the Coordinator, Centre for Systems Biology and Bioinformatics from 2010 to June 2018. His areas of interest include Biostatistics, Ranking and Selection, Statistical Inference, Statistical Modeling, Bioinformatics and Statistical Genetics. Many projects like Public Health and Pollution Control in Asia (PAPA Project) in collaboration with Health Effects Institute (HEI), Boston, USA, National Environmental Health Profile, sanctioned by Ministry of Environment, Forest and climate change, Extent and Determinant of Cost of Acute Poisoning in Tri-city of Chandigarh-An Exploratory Study etc. have been taken by him. He is also working on six other projects with WHO (World health Organization) and ICMR (Indian Council of Medical Research) in collaboration with PGIMER and GMCH, Chandigarh, India. He has published more than 110 Research Papers in National/International Journals of repute. He has attended and delivered talks in more than 35 International conferences abroad and delivered more than 550 Invited talks in India. He has written several chapters in books. Recently, he has written a book a book on Medical Statistics which has been launched by International Medical Olympiad, Greece. He has many awards to his credit, Best Research Award 2003, Jacob Wolfowitz Award” 2003, USA, S.G. Gaur Award 2010, Best paper in Environmental Health 2010, Anil Malhotra Award in 2018 etc. He has visited many Countries including USA, UK, Austria, Singapore, Malaysia, Indonesia, Hong Kong, Germany, Korea, Qatar, China, Burma, Thailand, Greece, Belgium, Netherlands, Luxemburg, Portugal, France, Switzerland, Sri-Lanka, Finland, Hungary, Czech-Republic and Spain. Twelve students completed their Ph.Ds under his guidance and 4 are enrolled at present. Four PGIMER (Post Graduate Institute of Medical Education & Research) Doctors completed their M.S. Degree (Ortho) under the guidance of Prof. Ramesh Sen and Prof. Suresh Sharma. One Doctor has also completed DM, under the guidance of Prof S.K Mattoo and Prof. Sharma, Dept of Psychiatry, PGIMER, Chandigarh, India.

Dr. Dmitry Prokopenko is currently working as junior faculty, Instructor, at the Genetics and Aging Unit, Massachusetts General Hospital and Harvard Medical School, USA. He studied Applied Mathematics at the Saint-Petersburg State University in Russia. Following this he then completed a M.Sc. in Life Science Informatics. Dr Dmitry earned his doctoral degree in Biostatistics/Epidemiology from University of Bonn in Germany where he focused on methods for population stratification in genetic association studies. During his postdoctoral training at Brigham and Women’s Hospital, USA, he improved his expertise in large scale whole genome sequencing (WGS) analysis and method development. His research interests focus on statistical and computational problems posed by large scale whole genome sequencing studies and other –omics data. Most recently, he has been working on identifying sex- specific mutations and functional rare variants in Alzheimer’s disease from family-based and unrelated WGS datasets. He also has experience working with datasets from Trans-Omics for Precision Medicine (TOPMed) program and UK Biobank.

Dr. Praveen is currently Vice President (VP) - AI & Data Science Group at CropIn Technology, India. Prior to this he was lead for Data Science and Machine Learning with Corteva Agriscience, Hyderabad, India. He was formerly with Shell Technology Center Bangalore working as data analytic scientist for 4+ years and prior to that as a Researcher and Technical Manager at Samsung Advanced Institute of Technology (SAIT), Bangalore, India. Prior to SAIT, he was a postdoc and researcher at the Pasteur Institute, Paris. He has a Ph.D (Summa cum Laude) in Signal and Image Processing from Ariana, a joint research team of INRIA, CNRS and UNS. His Masters degree was in Electrical and Computer Engineering from Texas A&M University in College Station, Texas, USA and an undergraduate degree in Electrical Engineering from IIT Roorkee, India.

He has earlier worked in the areas of application of signal and image processing, pattern recognition and machine learning to a variety of domains such as Oil and Gas, Utility/Power Industry, Life Sciences, and Healthcare. As part of the job he has experience in working with researchers from Europe, Asia, Israel, Korea, North Africa and USA, with special focus on initiating and sustaining project collaborations between Academia and Industry. In the process, he has a few filed patents and published work in international conferences and journals with several invited talks.

Dr. Prashanth Suravajhala is a Systems Biologist with wide interests on functional genomics, protein informatics and interactions. He obtained his PhD from Aalborg University, Denmark and gained five or more years of postdoctoral experience. His current research focus is on developing resources targeted genomic regions of interest, viz. known unknowns, non-coding RNAs linked to diseased genes and proteins.

Prof. Areejit Samal is a Faculty member (Reader F) in the Computational Biology group at IMSc, Chennai, India. He obtained PhD under Prof. Sanjay Jain and Prof. Shobhit Mahajan at the Dept. of Physics, University of Delhi, India. He works in the area of complex networks and computational systems biology. His main focus has been the study of structure, dynamics and evolution of metabolic and gene-regulatory networks. He uses constraint-based metabolic modeling, Boolean modeling, and graph-theoretic approaches to investigate genotype-phenotype relationships in metabolic and gene regulatory networks. He has also used Monte Carlo techniques to develop novel methods to sample networks with desired properties. He has also worked in the area of theoretical population genetics.

Dr. Anshu Bhardwaj obtained her Ph.D. in understanding genotype-to-phenotype correlations in human mitochondrial diseases from CCMB, Hyderabad. She then joined CSIR as one of the founding PIs of the Open Source Drug Discovery Project in 2008. She conceived, designed and implemented crowdsourcing as a tool to tackle challenging scientific problems (Connect to Decode project), which is considered as a futuristic approach to drive biomedical big data projects and lead to human resource development in frontier areas of data science and analytics. She has over 30 publications to her credit and has trained over 1000 young students. She also writes popular science articles. She served as an Associate scientific advisor to Science Translational Medicine and is on the Editorial board of Frontiers in Systems Biology, Computational Genomics and Journal of Genetics. She was one of the four Young Innovators in India, United National Development Program (UNDP), selected for the prestigious International Visitor Leadership Program by US State Department, awarded Newton-Bhabha Fund from the British Council and the Royal Society of Chemistry, UK. In 2019 she was also awarded the Long-term CRI Group Leader fellowship, Paris, France. Her passion is biomedical big data analytics with focus on understanding infection and rare disease biology towards better diagnosis and therapeutics. She has conducted several workshops, has been invited to deliver over 150 talks at national and international platforms. She is also the Team Lead, Drug Discovery Virtual Tool Room, Drug Discovery Hackathon 2020, Government of India. She has immense experience in handling open interdisciplinary communities for large-scale drug discovery projects.

Prof. Muthuraman received the B.E. degree in electronics and communication engineering from the University of Madras, Madras, India, in 2002, and the MS in digital communications in Christian Albrecht’s University, Kiel, Germany in 2006. Ph.D. degree in biomedical engineering from the Technical faculty and Department of Neurology of Christian Albrecht’s University, Kiel, Germany, in 2010. In 2010, he joined the Department of Neurology, University of Kiel, as a Post-doc, and in 2013 became a senior Post-doc. Since December 2016, he has been with the Department of Neurology, Johannes Gutenberg University Mainz, where he is an Assistant Professor, and the head of the department biomedical statistics and multimodal signal processing unit. His current research interests include mathematical methods for time series analysis and source analysis on oscillatory signals, function of oscillatory activity in central motor systems, biomedical statistics, connectivity analyses, multimodal signal processing and analyses of EEG, MEG, fMRI and EMG, structural and network analyses on anatomical MRI and DTI, functional network analyses on PET imaging, machine learning and deep learning, network analyses.

Dr. Sushant Patil is an Assistant Professor at the University of North Carolina, Chapel Hill, USA. He has previously worked at Lineberger Comprehensive Cancer Center and at University of Chicago Medical Center. He is a graduate from the University of North Carolina at Charlotte with Ph.D. in Nanoscale Science (Biotechnology-Bioinformatics Track) and MS in Bioinformatics. Earlier in India, he pursued a Bachelor of Pharmaceutical Sciences from the University of Mumbai. Dr. Patil’s research interests range from bioinformatics, statistics, and predictive analytics to cancer genetics, molecular pathology, and personalized diagnostics and in the areas of intersection of these disciplines. His current projects are focused on the development, evaluation, and application of genomics and related technologies for clinical and translational cancer research.

Dr. Pratik Jagtap is a Research Assistant Professor at the Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis (USA). He obtained his PhD in Life science from CCMB, Hyderabad, India. His current research interests include developing analytical workflows for analysis of complex data, with particular emphasis on MS-based proteomics applications in metaproteomics, proteogenomics and data-independent acquisition (DIA) data analysis. His efforts in these areas are supported by his publication record.

Dr. Wei-Hung Pan obtained his PhD in Bioinformatics from Kiel University, Germany. He is currently working as senior data scientist at Supper & Supper GmbH. He is responsible for various data type processing such as geographic sensor data preprocessing and denoising with python (pandas, numpy, scipy, scikit-learn), R shiny app (interactive geographic data , package plotly and leaflet) and inhouse R package development, Machine learning (classification and regression) model application in agriculture data, Neural Network for Multi-dimensional Time-Series Data prediction(LSTM model on Tensorflow) to name a few. He has received many awards and honours for his work.

Mr. Arpit Deepak Yadav is working as Artificial intelligence and Machine Learning Researcher at tensorBrew, Hyderabad. He is also working as Corporate Trainer in Python, Data Science, Machine Learning, Deep Learning, and Artificial Intelligence. He is currently pursuing PhD in Machine Learning from SVVV Indore. He has done PGP in Artificial Intelligence and Machine Learning from Great Lakes, Hyderabad. He has done M.Tech in VLSI Design and B. E in Electronics & Telecommunication Engineering. He is having 10.8 Years of Experience including VLSI Research, Machine Learning, Data Science and Artificial Intelligence. He worked in IT industry but due to interest in Research Field he is mentoring many technocrats. He has filed 3 Patent . 2 Indian Patent and 1 Australian Patent in Artificial Intelligence. He has published 7+ International Journal Paper in Machine Learning and Deep Learning. He has done 70+ Certifications in the domain of Data Science, Machine Learning, Deep Learning and Artificial Intelligence.

He has conducted many sessions on Data Science , Machine Learning and Artificial Intelligence across India.

Dr. Puneet Goyal received his M.Tech. degrees (dual degree) in Computer Science and Engineering from IIT Delhi, where he also received Institute Silver Medal. He received his Ph.D degree in Electrical and Computer Engineering from Purdue University, USA. Then, he served as Senior Member of Technical Staff at AT&T Labs, San Ramon, CA for some time, before returning to India a few years back. Currently, he is serving as Assistant Professor at IIT Ropar. He has teaching experience for around 5 years and he has guided many students to perform remarkably well in several reputed technical contests (like Microsoft Imagine Cup National Finals 2014). His main research interests include Image Processing/Computer Vision, Deep Learning, Machine Learning, Security Analytics and Assistive Technologies.

Dr. Prashant Kumar received his Ph.D. in molecular biology in 2009 from the Max Planck Institute for Infection Biology in Berlin, Germany. Following this, he undertook postdoctoral training in the laboratory of Prof. Karl Simin at the Department of Cancer Biology at the University of Massachusetts Medical School in Worcester, USA, where he established a novel mouse model of malignant breast cancers. Subsequently, he joined the laboratory of Prof. Jean Paul Thiery, a world-renowned authority in the area of epithelial-mesenchymal transition, at the Institute of Molecular and Cell Biology in Singapore. During this period, he was involved in the development of a novel point-of-care diagnostic platform for detection of bladder cancer biomarkers. He is a recipient of the prestigious Ramanujan Fellowship awarded by Department of Science and Technology, Government of India (DST) 2015. He is currently working at IOB, Bangalore his area of interest is on using genomic and proteomic approaches to study cancers. He is also involved in the establishment of a culture method to assess circulating tumor cells (CTCs) harvested from blood samples of patients undergoing neoadjuvant therapy.

Dr Manish Narwaria finished his PhD in Computer Engineering from Nanyang Technological University, Singapore. At present he is an Assistant Professor in the Department of Electrical Engineering at Indian Institute of Technology, Jodhpur. He is recipient of many awards, and has a patent to his credit. Dr Manish has several publications with more than 1000 citations and h-index: 15. His research interest are in the areas of multimedia signal processing, statistical data analysis, machine learning, and psychophysics. Dr Manish has specific interests in computational modeling and analysis of perceptual factors in multimedia signals. Apart from theoretical aspects, he is also interested to deploy such models in diverse areas such as video quality prediction, optimized multimedia communication, developing uncertainty aware machine learning based predictors, visual surveillance, and display modeling.

Dr. Raghu obtained his PhD in Bioinformatics from Tata Institute of Fundamental Research in 2002. At present he is working as assistant professor at Weis center for research, Geisinger Clinic. He has worked as a Bioinformatics scientist at Transnational Genomics Research Institute (TGen) in the past. His efforts in these areas are supported by his publication record. Dr Raghu's areas of interest are Bioinformatics, Next Generation Sequence Data Analysis, Clinical genomics, Comparative Genomics; Gene Expression analysis, AI ML applications, Bio-marker development and Integrating Multiple platform Genomics Data sets.