Hello, I'm a/an

I'm Yubin, a final year PhD student at MIT Media Lab and a student researcher at Google DeepMind .
My research objective and interest lies in Health AI, Agents, and AI Safety.
Specifically, I'm interested in bridging the gap between the AI Agent/Robot and real-world tasks, delivering Personalized and Long-term interactions.
I am on the job market this year!

Updates

2026

May Our paper on "Towards a General Intelligence and Interface for Wearable Health Data" is released as a preprint paper
May Our paper on "TeamBench: Evaluating Agent Coordination under Enforced Role Separation" is released as a preprint paper
May I've started a student researcher position at Google DeepMind
Apr Our paper on "Social Human Robot Embodied Conversation (SHREC) Dataset: Benchmarking Foundational Models' Social Reasoning" is accepted at RSS 2026
Apr Our paper on "CoDaS: AI Co-Data-Scientist for Biomarker Discovery via Wearable Sensors" is released as a preprint paper
Mar Gave an invited talk on "Towards a science of scaling agent systems" at 🎙️.
Feb Gave an invited talk on "Towards a science of scaling agent systems: When and why agent systems work?" at the AI Talks with NTU & NUS. I enjoyed the discussions that followed, especially on how we can coordinate agents with different capabilities and the trade-offs between capability and cost 🎙️.
Jan Gave an invited talk on "Agent Scaling Law" at Adobe Research . I enjoyed the insightful discussions that followed, especially on how we can approach evaluation for agent systems and architectural design 🎙️.
Jan Our paper on "Towards a Science of Scaling Agent Systems" is released as a preprint paper

2025

Dec Gave an invited talk on "Healthcare Agents: Language Model Agents in Health Prediction and Decision-Making" at MBZUAI 🎙️.
Sep Our paper on "Tiered Agentic Oversight: A Hierarchical Multi-Agent System for AI Safety in Healthcare" is selected as a spotlight poster at AI Cures 2025.
Aug Our paper on "The Anatomy of a Personal Health Agent" is released as a preprint paper
Aug Our paper on "BehaviorSFT: Behavioral Token Conditioning for Clinical Agents Across the Proactivity Spectrum" is accepted as a findings paper at EMNLP 2025.
Jun I've started a research intern program at Google Research
May Our paper on "VocalAgent: Large Language Models for Vocal Health Diagnostics with Safety-Aware Evaluation" is accepted as an oral paper at Interspeech 2025.
Mar Our paper on "Social robots as conversational catalysts: Enhancing long-term human-human interaction at home" is published as a cover paper at Science Robotics.

2024

Sep Our paper on "MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making" is accepted as an oral paper (Top 0.39%) at NeurIPS 2024.
Jul Our paper on "EmpathicStories++: A Multi-modal Dataset for Empathy towards Personal Experiences" is accepted as a Findings at ACL 2024.
May I've started a research internship at Honda Research Institute on LLMs in Displaying Group Dynamics
Apr Our paper on "Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data" is accepted at CHIL 2024.
Mar Our paper on "Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation" is accepted at CVPR 2024.

2023

Sep I started the MAS graduate program at MIT Media Lab
Jul Our paper on "HIINT: Historical, Intra-and Inter-personal Dynamics Modeling with Cross-person Memory Transformer" is accepted at ICMI 2023
Apr Our paper on "Multipar-T: Multiparty-Transformer for Capturing Contingent Behaviors in Group Conversations" is accepted at IJCAI 2023
Jan Our paper on "Joint Engagement Classification using Video Augmentation Techniques for Multi-person Human-robot Interaction" is accepted at AAMAS 2023

2022

Jul I started my visiting scholar program at MIT

Projects

My experience has been focused on implementing personalized technology with foundation models for human-agent interactions in an intuitive and reciprocal manner. Specifically, I am interested in developing personal agents that can maintain long-term interactions with humans in the wild and perform continual learning.

CoDaS: AI Co-Data-Scientist for Biomarker Discovery via Wearable Sensors
Multi-agent AI system for automated biomarker discovery from wearable sensor data

TeamBench: Evaluating Agent Coordination under Enforced Role Separation
Benchmark for multi-agent coordination with OS-enforced Planner / Executor / Verifier roles

Towards a General Intelligence and Interface for Wearable Health Data
Foundation model pretrained on 1T+ minutes of sensor data from 5M participants across 35 health tasks

Tiered Agentic Oversight: A Hierarchical Multi-Agent System for AI Safety in Healthcare
Multi-tier agentic oversight with case escalation for medical AI safety

The Anatomy of a Personal Health Agent
Building blocks for personal health agents

Towards a Science of Scaling Agent Systems
When and why agent systems work at scale

InvThink: Mitigating Safety Risks Through Inverse Reasoning
Inverse reasoning for safer AI responses

Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data
LLMs as personalized health learners

MDAgents: Adaptive Collaboration Strategy for LLMs in Medical Decision Making
Mirroring real clinical decision making with LLMs

Conversational AI Agents for Elder Care
Emotional Wellness and Medication Support for Older Adults

Digital Companion Robot Design for Older Adults
Investigation of Digital Companion Robot in VR Environment for Older Adults

Group Joint Engagement from RoomReader Dataset
Group Joint Engagement