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David Oniani ML Research Scientist University of Pittsburgh davidoniani@pitt.edu 
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Research topics: Other interests include BIC and QC [ Curriculum Vitae ] |
The hardest part of research is always to find a question that’s big enough that it’s worth answering, but little enough that you actually can answer it. — Prof. Edward Witten
I'm Dave, an AI Researcher and Software Engineer. I work as a Machine Learning Research Scientist at the University of Pittsburgh. I also collaborate with the team of computer scientists at HealthUnity, where we research Generative AI with an emphasis on Large Language Models (LLMs) and healthcare applications.
Fun fact: my family and friends call me Data (or Dato) as it is a Georgian hypocorism for David.
P.S. I was born in the country of Georgia (i.e., not in the state of Georgia).
News
(2023)First-authored paper on Generative AI Ethics published at npj Digital Medicine(2023)First-authored paper on In-Context Learning (ICL) released on arXiv(2023)Co-authored paper on generative LLM Metrics released on arXiv(2023)First-authored paper on LLMs Vote prompting released on arXiv(2023)First-authored paper on ReDWINE published at IJMI(2023)Joined HealthUnity as a collaborator(2023)First-authored paper on SNNs for FSL was published at JMIR AI(2022)First-authored paper on NMT models for health literacy published at AMIA Informatics Summit(2022)Joined University of Pittsburgh as a Machine Learning Research Scientist(2021)Co-authored paper on SBDH in the era of AI was published at Health Data Science(2021)Joined DawnLight as a Research Engineer(2021)Finished undergraduate studies at Luther College(2021)Joined DawnLight as a Machine Learning Intern(2020)First-authored paper on qualitative evaluation of LLMs published at ACM-BCB(2020)First-authored paper on co-occurrence network embeddings published at JAMIA(2020)Co-authored paper on teaching CS in a small classroom published at MICS(2020)Joined Mayo Clinic as a Research Intern(2017)Started undergraduate studies at Luther College