Minh Duc (David) Chu

PhD candidate at the USC Information Sciences Institute, advised by Luca Luceri (SIGNALS Lab) and Kristina Lerman.

Anthropic AI Safety Fellow (Summer 2026).

Incoming Research Engineer Intern — AI Safety & Alignment, Character.AI (Fall 2026).

From Vũng Tàu, Việt Nam 🇻🇳. Based in Los Angeles, CA 🇺🇸.

Minh Duc (David) Chu
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About

I'm a Computer Science PhD candidate at the USC Information Sciences Institute, advised by Luca Luceri (SIGNALS Lab) and Kristina Lerman. I'm currently an Anthropic AI Safety Fellow, and this fall I'll join Character.AI as a Research Engineer Intern on the AI Safety & Alignment team.

I started at USC in 2023 and expect to defend in late 2027. Before that, I earned my B.A. with Distinction in Computer Science & Statistics from Carleton College in Minnesota.

My research sits where AI safety and alignment meet mental health. One side is behavioral, a black-box audit of how conversational AI acts over many turns, and how those interactions can compound into harm: emotional dependency, belief spirals, and eating-disorder reinforcement, especially for teens and other vulnerable users. With clinicians and social scientists, I use concrete evaluation, red-teaming harnesses, and post-training safeguards for these risks.

The other side is more fundamental, and the question I most want to answer: for AI to harm people less, to actively mitigate harm, and maybe even leave people better off, especially around emotional manipulation and mental health, it first has to understand the complex psychological and social constructs we live by, like emotions, intimacy, and mental health itself. I work toward this from several angles: mechanistic interpretability, conceptual reasoning, behavioral study, and collaboration with psychologists and psychiatrists.

I grew up in Vũng Tàu on the coast of southern Việt Nam, and now live in Los Angeles. Outside research I box and play tennis.

Research

I work on AI alignment and safety, with a current focus on the shift from AI-as-assistant to AI-as-companion.

AI Alignment & SafetySocio-technical AlignmentHuman–AI CompanionshipModel PsychologyModel WelfareInterpretabilityCharacter TrainingSocial NLP
  1. 01

    Assistant → Companion

    What changes about safety when people stop using LLMs and start confiding in them.

  2. 02

    Psychology, Welfare & Interpretability

    Raising a model's EQ: the traits, drives, and failure modes models develop, how complex constructs get encoded as directions inside them, and how the way we treat models may carry downstream weight.

    Currently: Part 2 of Anthropic's functional emotion vectors

  3. 03

    Character Training

    How voice, values, and refusals get baked in at scale.

    Fall 2026: at Character.AI, AI Safety & Alignment team

  4. 04

    Aligning to Communities

    Tuning LLMs to specific online communities without flattening their language or norms.

  5. 05

    Computational Social Science

    Surfacing harm patterns — body image, eating disorders — across Twitter, Reddit, TikTok.

Skills

The tools I reach for — and, for language models, the four phases I actually work across.

Programming
PythonC++CJavaJavaScriptCUDADocker
Machine Learning
PyTorchHugging FaceTensorFlowKerasscikit-learnOpenCVR
Statistics
Bayesian InferenceProbabilityTime SeriesSpatial StatisticsSamplingVisualization

Language Models

01

Training

SFTRLHFRLAIFPreference Optimization (DPO, GRPO)Constitutional AICharacter TrainingDistributed Training (FSDP, DeepSpeed)Multimodal / VLMs
02

Interpretability

Sparse AutoencodersActivation SteeringLinear ProbingLogit LensRepresentation GeometryCircuit & Attention AnalysisFeature Attribution
03

Evaluation & Oversight

LLM-as-a-JudgeRed-teamingBehavioral & Psychometric EvalsScalable Oversight (Debate, Weak-to-Strong)Inspect AIPetri
04

Simulation

Multi-Agent SystemsPersona & Community SimulationAgent-based Info-OpsAutoGenRAG

Publications

Google Scholar

Contact

Happy to hear from anyone working on AI alignment, model welfare, or social NLP — and from anyone in Los Angeles looking for a tennis partner.

Email
mhchu [at] usc [dot] edu(USC)
dchu [at] isi [dot] edu(ISI)
davidchu11381 [at] gmail [dot] com(Personal)