Weiranย Yao
Chief AI Officer Co-Founder at actAVA.ai
Palo Alto, California, United States
Summary
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Top SchoolWeiran Yao is a PhD-trained AI leader and entrepreneur who builds agentic AI systems for healthcare, positioning his work as a "Cursor for Healthcare" with continuous compliance. As Co-Founder and Chief AI Officer at actAVA.ai, he drives product-grade models and Agent OS design informed by prior research leadership at Salesforce AI Research where he led data pipelines, benchmarks, and post-training for large action models and CodeGenie. He has a strong academic pedigree from CMU (70+ papers, 14 US patents) and a track record of turning research into startups, including a CMU spinoff in transportation analytics. Known for blending causal representation learning and multi-agent planning, he often tackles non-obvious problems like identifiable latent causal dynamics in nonstationary time series to improve real-world decision systems. Based in Palo Alto, he combines deep technical authorship with hands-on product delivery across healthcare and life sciences.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS Machine Learning, Master of Science - MS Machine Learning at Carnegie Mellon University School of Computer ScienceDoctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Carnegie Mellon University
English
Github Skills (20)
agent8
lora7
quantization7
gpt6
ai6
transformers6
fine-tuning5
llm5
large-language-models5
language-model5
peft4
llama4
rlhf4
mistral3
machine-learning1
Programming languages (3)
Github contributions (5)
Raven603/cranberry_data
Nov 2018 - Dec 2018
Contributions:1598 pushes, 1 branch in 27 days
weirayao/causal-mdp
Feb 2020 - May 2020
Contributions:14 commits in 2 months
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