Dr. Praapti Jayaswal (Co-Founder & CEO), is a PhD in tuberculosis research from the Translational Health Science and Technology Institute (THSTI), in New Delhi. Her expertise is in microbiology and understanding the biology of the disease.
Dr. Smita Hingane (R&D Lead), has a PhD in infectious disease virology from THSTI, India. Her expertise lies in infectious diseases. With years of experience in molecular and microbiology, she is leading the in-house R&D for scaling AarogyaAI’s novel diagnostic technologies.
Rahul has a Master’s degree in Bioinformatics and is skilled in research, python, data analysis and genetics. At AarogyaAI Rahul focuses on applying bioinformatics to drive innovations in diagnosis by developing methods for leveraging genomic data to study infectious diseases.
Dr. Varsha Sharma (R&D Manager) is a PhD in Biomedical Engineering with an expertise in anisotropic nanoparticles and polymer based drug delivery systems. Prior to her PhD as a CSIR fellow, in her previous corporate stint, she has also worked as a Product manager in a leading life sciences company. At AarogyaAI, she works on R&D as well as managing external affairs.
Avlokita Tiwari (Co-Founder & CTO), has an MS in Bioinformatics from the University of Turku, Finland. Her expertise lies in computational biology and genomic data. She is the bridge between biology and Artificial Intelligence/Machine Learning.
Aniruddh Sharma is a Data Scientist working on processing, training and deploying the machine learning pipeline for tuberculosis and other infectious diseases at AarogyaAI. A graduate in Mechanical Engineering from IITRAM Ahmedabad, Anirudh has previously worked in robotics, deep learning and computer vision. During his time off he volunteers for Open-source medical technologies designed to automate the medical industry.
Sagar Gupta is a Full-Stack Developer at AarogyaAI. He is also responsible for connecting our models to Frontend. He has experience in Full-Stack Development. He also supports processing, training and deploying the machine learning pipeline for tuberculosis and other infectious diseases at AarogyaAI.