Amber Nigam

Amber Nigam is a distinguished individual with a rich background in entrepreneurship and data science, boasting over a decade of experience in developing products at scale using machine learning and natural language processing. As the Co-founder and CTO at kydots.ai, Amber successfully led a team of engineers and psychometric researchers in creating a cutting-edge product focused on career progression through deep learning. During this entrepreneurial journey, two patents were secured, and a research paper detailing the innovative algorithms was published. Amber's academic journey has seen him contribute significantly to the field through participation in top-tier machine learning conferences such as NeurIPS and ACL, with publications in esteemed journals like Lancet and Springer. Additionally, Amber recently played a key role in instructing lectures at MIT on Causal Inference and Marginal Structural Models as part of the Collaborative Data Science in Medicine course (HST.953), and co-authored a chapter in the book 'Leveraging Data Science for Global Health'.