Srujana Merugu

Srujana Merugu is a seasoned technologist with nearly two decades of experience solving large-scale data science problems in various domains.

She has a strong research background with publications in prestigious machine learning conferences and multiple best paper awards.

With over five years of consulting practice, Srujana has been instrumental in shaping data science strategy, setting up teams, and processes for startups and non-profit organizations.

Her diverse professional journey includes collaborations with government agencies for initiatives related to COVID-19 response and national digital health.

Srujana's expertise spans across multiple ML application domains such as information retrieval, recommendation systems, fraud detection, and time series forecasting.

Currently, she is focused on research areas like ML for health, modeling human behavior, data privacy, and equitable assessment.

Education-wise, Srujana holds a Ph.D. and M.S. in Computer Engineering from The University of Texas at Austin and a B.Tech in Electrical Engineering from the Indian Institute of Technology, Madras. She also studied Mathematics at the Institute of Mathematical Sciences in India.

In her professional career, Srujana has held key positions at notable organizations like Google Research, Wadhwani AI, CuspEra, Flipkart, Amazon.com, IBM Research, Yahoo! Research, and more.