Dr. Ninad Mishra
Scientific and Industry Advisory Board Member
Dr. Ninad Mishra is a physician, clinical informatics leader, and precision health innovator whose work brings together medicine, data science, and genomic technologies to advance patient care and public health. His career centers on designing systems that translate clinical, epidemiologic, and genomic data into actionable tools for clinicians, researchers, and healthcare organizations. He approaches digital health as a complex ecosystem that requires alignment between workflows, human behavior, data architecture, and organizational culture. His work highlights that sustainable innovation depends on integrating these dimensions rather than relying on technology alone.
At the Centers for Disease Control and Prevention, Dr. Mishra served as Associate Director of Informatics and Data Science and guided national efforts in data modernization, cloud-based analytics, and AI-enabled clinical decision support. His programs advanced FHIR interoperability, large-scale data engineering, and population-level analytic platforms supporting prevention, decision making, and value-driven care. He has collaborated with multidisciplinary teams to convert scientific goals into operational systems capable of functioning across diverse clinical and public health settings.
Across leadership roles in clinical informatics, digital health, and precision medicine, Dr. Mishra has specialized in integrating medical expertise with machine learning, advanced analytics, and real-world implementation. His portfolio includes developing AI tools for disease risk prediction, designing genomic and clinical data fusion pipelines, and creating solutions that enhance clinical decision support and patient engagement. He has been recognized for strategic leadership, technical insight, and his ability to guide teams through complex health technology challenges. Dr. Mishra earned his MD and his master’s degree in health informatics and completed advanced genomics training at Stanford University.
Dr. Jaideep Srivastava
Scientific and Industry Advisory Board Member
Dr. Jaideep Srivastava is an internationally recognized expert in machine learning, social analytics, and digital health, with a distinguished record that spans academic research, industry leadership, and government advisory roles. He is Professor of Computer Science at the University of Minnesota, where he directs a research laboratory focused on data mining, behavioral analytics, and data-driven modeling. He is a Fellow of the Institute of Electrical and Electronics Engineers and has served as a Distinguished Fellow of Allina’s Center for Healthcare Innovation. He holds joint and visiting appointments across global institutions, including IIT Kanpur’s Gangwal School of Medical Sciences and Technology.
Dr. Srivastava has supervised forty-seven PhD dissertations and more than seventy master’s theses and mentored numerous researchers in academia and industry. He has authored more than four hundred seventy-five scholarly publications and has received multiple best paper awards, along with the PAKDD Distinguished Research Contributions Award for lifetime impact in data mining. His work has been supported by agencies such as NSF, NASA, DARPA, IARPA, NIH, CDC, and the US Department of Defense, along with major corporations including IBM, Honeywell, Cargill, and Huawei. He regularly serves on scientific advisory boards, grant review committees, and editorial boards.
His industry experience includes serving as Chief Scientist for the Qatar Computing Research Institute, as the data mining architect at Amazon, and as Chief Technology Officer for Persistent Systems. His entrepreneurial work includes co-founding Ninja Metrics and Truro Analytics and advising startups later acquired by Teladoc and Verisk. He has contributed to national digital initiatives, including advising the Government of India’s UIDAI program, which supports Aadhaar for more than a billion citizens. Dr. Srivastava has delivered over 100 invited talks in more than 35 countries. He holds a Bachelor of Technology from the Indian Institute of Technology Kanpur and MS and PhD degrees from the University of California, Berkeley.
Dr. Amrita Tailor
Scientific and Industry Advisory Board Member
Dr. Amrita Tailor is a strategic health leader whose work bridges evidence-based science and health information technology, with specialized expertise in the implementation and optimization of clinical decision support systems. She views healthcare organizations as complex, adaptive ecosystems rather than as simple technology-deployment sites. Her research produced a comprehensive framework that integrates human, organizational, and technological factors to help leaders assess readiness, overcome barriers, and achieve sustained adoption of evidence-based clinical workflows. Her work reshaped how healthcare systems approach digital transformation by demonstrating that organizational dynamics, not technology alone, determine success.
During her tenure as a lead scientist at the Centers for Disease Control and Prevention, Dr. Tailor guided the development and implementation of multiple high-impact, evidence-based guidelines with broad clinical, economic, and policy relevance. She specialized in converting research findings into actionable tools by synthesizing evidence from systematic reviews, patient data, and public health surveillance. Her work included creating algorithmic flowcharts, computable guidelines, and EHR-integrated tools that enable consistent digital implementation across varied healthcare environments.
Dr. Tailor’s contributions span evidence-based strategy development, clinical outcomes research, and health IT optimization. She brings a unique blend of scientific rigor, clinical understanding, and organizational insight that supports effective decision making and measurable improvements in care quality. She has earned multiple CDC awards for her leadership of multidisciplinary teams and for cultivating high-performance cultures through strategic talent development and inclusive management. Dr. Tailor holds a PhD in Health Sciences with a specialization in Health Leadership from Rutgers University and an MPH in Epidemiology from Emory University.