Joined OpenAI
Started a new chapter as an ML Scientist at OpenAI, working on B2B revenue forecasting and strategic modeling.
News
A running log of major milestones, product work, research collaborations, and releases.
Had a discussion with the UCSF Biostatistics lab on how research training carries into AI-native work, including problem formulation, validation, and the role of human judgment in real data and modeling workflows.
Link March 2026Launched a new codex-skills series with reusable, installable workflows for data mining, modeling, AI, and research workflows, making capabilities easier to reuse across projects with less setup overhead.
Started a new chapter as an ML Scientist at OpenAI, working on B2B revenue forecasting and strategic modeling.
Attended NeurIPS 2025 and published notes on research trends, evaluation, and practical LLM takeaways.
Helped deliver the Overview feature for Microsoft Copilot Notebooks, with work spanning context engineering and AI evaluation.
Started collaborating with Columbia University on AI BioAge, applying machine learning to biological aging and longevity research.
Published an actively updated site for LLM concepts, conference notes, and practical AI exploration.
Link October 2025Released DA-Forge to automate declarative agent creation and deployment workflows for grounded enterprise AI systems.
Joined Microsoft Copilot Notebooks as an early AI scientist, focused on grounded AI product experiences.
Schema Lineage Extraction at Scale was accepted to the NeurIPS 2025 LLM Evaluation Workshop and DL4C Workshop.
Link August 2025Published the SLiCE Python package for schema-lineage evaluation on PyPI and GitHub.
Link June 2025Launched a data reasoning agent with customized RAG and SQL generation over schema-lineage-aware context.
Link May 2025Released ArxivSummary publicly and upgraded the pipeline for large-scale daily paper synthesis.