Manasa Kalanadhabhatta

I am a Research Scientist at Meta Reality Labs, where I work on building large-scale machine learning models for wearable input and interaction systems using electromyography signals. My research interests include machine learning for multimodal sensor data, ubiquitous computing, and human computer interaction.

I earned my M.S. and Ph.D. in Computer Science from the University of Massachusetts Amherst, where I was co-advised by Deepak Ganesan and Tauhidur Rahman. My dissertation focused on developing digital biomarkers of early childhood mental health using multimodal data (audio, video, physiological, and neural signals) from mobile and wearable devices. My research has been recognized by the UMass Amherst Center for Research on Families Dissertation Award and the UbiComp Gaetano Borriello Outstanding Student Award.

During my Ph.D., I worked as a research intern at Nokia Bell Labs in Cambridge, UK and at Meta Reality Labs in New York, USA. Previously, I earned a bachelor’s degree in Computer Science and Engineering from Shiv Nadar University, India, and completed my undergraduate thesis at Singapore Management University, Singapore.