We’re excited to introduce Ankur Taly, the newest member of our team. Ankur joins us as the Head of Data Science.
Previously, he was a Staff Research Scientist at Google Brain where he worked on Machine Learning Interpretability and was most well-known for his contribution to developing and applying Integrated Gradients — a new interpretability algorithm for Deep Neural Networks. Ankur has a broad research background and has published in several areas including Computer Security, Programming Languages, Formal Verification, and Machine Learning. Ankur obtained his Ph.D. in CS from Stanford University and a B. Tech in CS from IIT Bombay.
Ankur passionately believes in the need for Explainable AI and is excited to join Fiddler labs. In his own words:
“Explainability is one of the key missing pieces in the ongoing machine learning (ML) revolution. As ML models continue to become more complex and opaque, being able to explain their predictions is getting increasingly important and challenging. The ability to explain a model’s predictions would enable users to build trust in the model, business stakeholders to derive actionable insights and strategies, regulators to assess model fairness and risk, and data scientists to iterate on the model in a principled manner. In response to this need, there has been a large surge in research on explaining various aspects of ML models. Fiddler Labs has taken up the ambitious task of driving this research to industrial practice, by making it available as a cutting-edge enterprise product catering to several business needs. This is incredibly promising, and I am super excited to join Fiddler on this journey!”
Ankur Taly