I’m a PhD candidate at UPenn working in the Penn Center for Learning Analytics with Dr. Ryan Baker. My research is at the intersection of machine learning and learning sciences. I study ways to promote student engagement and learning in adaptive and artificially intelligent educational systems in a fair and equitable manner. My dissertation investigates bias in the upstream sources (theory, design, methods) that shape automated decision-making in adaptive learning systems. My research involves:
- Building statistical and machine learning models to understand complex educational constructs such as affect, cognition, motivation, self-identity, help-seeking, and persistence.
- Methodological innovations in learning analytics to overcome the challenges in applying current methods to education data.
- And more importantly, constructing scientific and critical approaches to identifying biases and mitigating them for equitable student outcomes.
Previously, I earned an MS in computer science from UMass Amherst with an emphasis in machine learning, where I worked with Dr. Beverly P. Woolf and Dr. Ivon Arroyo. In 2016 I was a visiting researcher in learning sciences at USC ICT (Institute for Creative Technologies) working with Dr. Benjamin Nye and Dr. Mark Core. In summer 2017 I interned as a data scientist with Dr. Antonio Nucci at the Advanced Technologies and AI lab at Cisco. Between 2011-2015 after earning a BE in Computer Science from SJCE India, I worked as a software engineer at Cisco.