In Fall 2026, I will be starting as an Assistant Professor of Computer Science in the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington.

Currently, I am completing my PhD in the Robotics Institute at Carnegie Mellon University. I am advised by Reid Simmons and Henny Admoni, and am part of the Human and Robot Partners (HARP) Lab and Reliable Autonomous Systems Lab (RASL). My work has been generously supported by the National Defense Science and Engineering Graduate (NDSEG) Fellowship, an Uber PhD Fellowship, and a Siebel Scholarship. Previously, I graduated from Caltech with a B.S. in Computer Science where I worked with Yuxin Chen and Yisong Yue on machine teaching, and Soon-Jo Chung on distributed control.

Research

My research interests lie in the areas of interactive machine learning, uncertainty quantification, and human robot interaction. I’m interested in developing algorithms to enable fluent, bidirectional human-robot learning and collaboration (see 2-page research statement).

My PhD research develops data-driven robotic algorithms that learn effectively from human feedback, with uncertainty quantification algorithms that enable robots to self-assess when and why their policies are nonperformant, communicate insights with human teachers, and proactively ask for targeted feedback. My long-term goal is to build lifelong, collaborative intelligence: robotic partners that remain helpful even when imperfect, continually learning by shaping strategic human-robot interactions to improve their assistance.

I publish in journals and conferences for robotics, machine learning, and cognitive science, including RSS, ICRA, IROS, CoRL, HRI, TopiCS, and ICLR. Teaching and mentorship are very important to me, and students I have mentored have gone on to PhDs in HRI at University of Washington and Colorado School of Mines!

News

• March 2026: I accepted an offer to join the Department of Computer Science in the Luddy School of Informatics, Computing, and Engineering at Indiana University (IU) as a Tenure-Track Assistant Professor starting Fall 2026!
• March 2026: I gave a talk on Collaborative Active Learning for Robots at the University of Notre Dame, Missouri University of Science and Technology, University of San Francisco, Montana State University, Virginia Tech, Indiana University, Toyota Technical Insitute in Chicago, Texas Tech, and UMass Amherst.
• March 2026: I co-organized the Workshop on Lifelong Learning and Personalization in HRI (LEAP-HRI) at HRI 2026 with wonderful co-organizers Bahar Irfan, Rajat Kumar Jenamani, Ali Ayub, Nikhil Churamani, Silvia Rossi.
• Jan 2026: I gave a talk on Collaborative Active Learning for Robots at the IRoM Lab at Princeton University, thank you Anirudha Majumdar for hosting me!
• November 2025: I was part of the 2025 cohort of Future Digileaders, and attended the conference held in Stockholm, Sweden, for selected early-career researchers in the broad area of digitalization.
• September 2025: I was awarded a Siebel Scholarship (academic merit award toward final year of PhD study.)
• September 2025: I completed a summer internship with the Trustworthy Learning Under Uncertainty team at Toyota Research Institute. I was fortunate to be mentored by Masha Itkina, Haruki Nishimura, and Chen Xu.
• July 2025: Our paper on Optimal Interactive Learning on the Job via Facility Location Planning was presented at RSS 2025. This was joint work with Shivam Vats, Patrick Callaghan, Mingxi Jia, Maxim Likhachev, Oliver Kroemer, George Konidaris.
• May 2025: Our paper on Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback" with Andrea Bajcsy and Aaditya Ramdas was accepted and presented at ICLR 2025!
• May 2025: I was part of the 2025 cohort of Rising Stars in Computational and Data Sciences and attended the conference held at The Oden Institute for Computational Engineering and Sciences, held at The University of Texas at Austin.
• April 2025: Our paper on Leveraging Large Language Models for Preference-Based Sequence Prediction" with Michaela Tecson, Daphne Chen, and Zackory Erickson was accepted and presented at International Conference on Agents and Artificial Intelligence (ICAART) 2025!
• March 2025: I co-organized the Workshop on Lifelong Learning and Personalization in HRI (LEAP-HRI) at HRI 2025 with Bahar Irfan, Ali Ayub, Nikhil Churamani, Silvia Rossi.
• Jan 2025: Our paper on Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions" with Andrea Bajcsy was accepted and presented at RSS 2025!
• Nov 2024: I co-organized the Symposium on AI for Aging in Place at the AAAI Fall Symposium Series 2024 with Nina Moorman and Pragathi Praveena.
• Nov 2024: I gave a talk on "Conformalized Teleoperation: Uncertainty Quantification in Shared Autonomy" at the University of Michigan class on Computational HRI (Graduate), taught by Christoforos Mavrogiannis. Thank you Chris for the opportunity to talk to your class!
• Nov 2024: I co-organized the Symposium on AI for Aging in Place at the AAAI Fall Symposium Series 2024 with Nina Moorman and Pragathi Praveena.
• May 2024: Our paper on Multi-Agent Strategy Explanations for Human-Robot Collaboration" with Ravi Pandya and Changliu Liu was accepted and presented at ICRA 2024!
• Mar 2024: I co-organized the AI-CARING student symposium at UMass Lowell with Anna Nickelson, Russell Perkins, and Pragathi Praveena.
• Mar 2024: I co-organized the Workshop on HRI for Aging in Place at HRI 2024 in Boulder, Colorado, with Nina Moorman, Reid Simmons, Henny Admoni, and Matthew Gombolay.
• Feb 2024: I gave a talk on "Towards Proactive, Collaborative Robots" at CMU's Robotic Caregiving and Human Interaction (RCHI) Lab . Thanks Zackory Erickson for the invite!
• Nov 2023: My RISS student Nyomi Morris presented our workshop paper on "Machine Teaching of Collaborative Policies for Human Inverse Reinforcement Learning" at the RL-CONFORM Workshop at IROS 2023. She won a best poster award!
• Oct 2023: Our paper on Learning Human Contribution Preferences in Collaborative Human-Robot Tasks" was accepted and presented at CoRL 2023. I got hit by a car in Atlanta!
• May 2025: I gave a talk on "Examining the Role of Adaptation in HumanRobot Collaboration" at the MITRE Corporation Human-Machine Teaming Community of Interest Discussion Session.
• Mar 2023: I co-organized the AI-CARING student symposium at CMU with Daphne Chen, Anna Nickelson, and Russell Perkins.
• Nov 2022: Our paper on The Role of Adaptation in Human-AI Teaming" was published in Topics in Cognitive Science (topiCS), Special Issue on Building the Socio-Cognitive Architecture of COHUMAIN: Collective Human-Machine Intelligence.
• Oct 2022: Our paper on Teaching Agents to Understand Teamwork: Evaluating and Predicting Collective Intelligence as a Latent Variable via Hidden Markov Models" was published in Computers in Human Behavior Journal.
• Oct 2022: Our paper on Coordination with Humans via Strategy Matching." was accepted and presented at IROS 2022.
• Feb 2022: I received the NDSEG fellowship a three-year graduate fellowship.
• April 2021: I received an Uber PhD fellowship from the Robotics Institute at CMU.
• March 2021: I presented our paper on "Adapting Language Complexity for AI-Based Assistance" at the Workshop on Lifelong Learning and Personalization at HRI 2021.
• August 2020: I started my PhD at CMU.