Manoj Gopalkrishnan is the founder and CEO of . He is a researcher with 18 years of research experience in Molecular Computing. He has been associated with leading scientific research institutes including Duke University, TIFR Mumbai, International Centre for Theoretical Sciences, TIFR Hyderabad, California Institute of Technology, Monash University, and IIT Bombay. He holds a B. Tech. in Computer Science from IIT Kharagpur and a Ph. D. in Computer Science from the University of Southern California where he worked with Turing award-winner Professor Len Adleman on DNA Self-Assembly and on Chemical Reaction Network Theory. He is an interdisciplinary researcher with publications in Mathematics, Physics, Chemistry, Biology, Computer Science, Information Theory, Control Theory, and Machine Learning. His paper "Geometric Approach to the Global Attractor Conjecture" remains the strongest partial result towards a 50-year-old open problem central to chemical reaction network theory. He is the first person to demonstrate programmable self-assembly of DNA into hexagonal lattices, cylinders, and Möbius strips while still a graduate student. His work on the thermodynamics of information has radically challenged existing notions in the field. His work on machine learning algorithms implemented in chemical reactions has laid the foundations for the field of molecular intelligence. His awards and recognition include the Ramanujan fellowship, and the Viterbi graduate fellowship. He has coauthored more than 40 papers with more than 450 citations, and 2 patent publications. He has been a regular member of the program committee for the International Conference on DNA Computing and Molecular Programming for the past several years. His mission is to bring intelligence to molecules thus enabling a bountiful and sustainable world with justice and equal opportunity for all.

Nidhi Mathur is the Chief Business Officer of . She cofounded an AI-led breast cancer screening startup called Niramai and was responsible for running business functions at Niramai. She has incubated and launched a number of innovative products ranging from a secure mobile printing solution for enterprises (ePrint), an intuitive and self-service model of creating mobile apps (SiteOnMobile, an idea that won innovation awards from Wall Street Journal and NASSCOM), business model to provide low-cost printing (Sponsored Print) and a SaaS start-up offering for knowledge automation for sales enablement (Kaybus). Nidhi received her MBA from Indian Institute of Management Bangalore with specialization in Marketing and Strategy.

Krishna Vishal Vemula is a Solutions Architect at . He holds a BTech from IIT Madras with a strong exposure to Applied Math. In his half a decade of industry experience as an R&D Engineer, he has gained expertise in Software Engineering, Data Science, Machine Learning, ML Ops, Cloud, and Full Stack Web App Development.

Barkha Pradhan is Project Manager at ABPL. She holds an M.Sc in Biotechnology from the University of Hyderabad.

Bhavna Kandra is a Data Scientist at . She holds an MSc and BSc (Research) degree from IISc, Bengaluru. Her areas of interest lie in the interdisciplinary fields of (but not limited to) Genomics, Dynamical Systems and Chaos theory, Optimization, Quantum Computing, Statistics and Artificial Intelligence.

Prantik Chakraborty is a Data Engineer at . He holds a B. Tech. in Chemical Engineering from IIT Bombay, and is passionate about software as well as fundamental and interdisciplinary science.

Anirudh Chakravarthy Srinath is currently working as a Molecular Science Specialist at Algorithmic Biologics. He has done his PhD from the Institute for Stem Cell Science and Regenerative Medicine in Bangalore. He has extensive biological research experience. His doctoral research was focussed on uncovering the cell and neurobiological mechanisms that drive light sensing. He has also worked on multiple synthetic biology research projects over the course of PhD. At Algorithmic Biologics, his work is towards developing new and interesting molecular technologies.

Rita Bhui is a Data Scientist at . She received her Ph.D. in Physics from University of Texas (UT) Dallas. During her post-doctoral stint, she worked in the Biomedical Engineering department at UT Dallas on developing patient-specific multi-scale, multiphysics models of disease progression.

Shanya Anand is an alumnus of IIT Bombay, where he successfully completed undergraduate studies in Engineering Physics. With a cumulative experience of three years, he currently serves as a Data Scientist at , contributing to the forefront of innovative data-driven solutions.