David Oniani

David Oniani
Machine Learning Research Scientist
Associate Director, PittNAIL Lab
University of Pittsburgh
onianidavid@gmail.com

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, a Researcher. I work as a Machine Learning Research Scientist at the University of Pittsburgh. I am also an Associate Director of the PittNAIL Lab. In addition, I collaborate with researchers at HealthUnity, where we study Generative AI, with an emphasis on Large Language Models (LLMs) and applications in healthcare.

News

04/2024 First-authored paper on LLMs for Clinical Decision Support (CDS) accepted at IEEE Human-Centred XAI Workshop
03/2024 Co-authored paper on Generative LLM Metrics published at Nature's npj Digital Medicine
03/2024 Inducted as a Full Member into Sigma Xi
03/2024 Co-authored paper on using NLP for addressing housing instability accepted at JCTS
02/2024 First-authored paper on LLMs for generating drug indications is out
01/2024 Co-authored paper on Information Retrieval (IR) literature review accepted at JHIR
12/2023 Check out news articles on our recent Generative AI Ethics publication [1] [2] [3] [4]
12/2023 First-authored paper on Generative AI Ethics published at Nature's npj Digital Medicine
11/2023 First-authored paper on In-Context Learning (ICL) released on arXiv
08/2023 First-authored paper on LLMs Vote prompting released on arXiv
09/2023 First-authored paper on ReDWINE published at IJMI
06/2023 First-authored paper on SNNs for FSL was published at JMIR AI
04/2023 Joined HealthUnity as a collaborator
12/2022 First-authored paper on NMT models for health literacy accepted at AMIA Summit
12/2022 Co-authored paper on rule-based NLP for Alzheimer's Disease IE released on arXiv
02/2022 Joined University of Pittsburgh as a Machine Learning Research Scientist

Older News

08/2021 Co-authored paper on SBDH in the era of AI was published at Health Data Science
06/2021 Joined DawnLight as a Research Engineer
05/2021 Finished undergraduate studies at Luther College
05/2021 The spotlight of the Luther Navigator project (that I dreamed up) in the Luther Magazine
04/2021 Joined DawnLight as a Machine Learning Intern
10/2020 Inducted into Pi Mu Epsilon!
10/2020 The spotlight of my internship at Mayo in the Luther Magazine Fall 2020 article
05/2020 Presented at the JAMIA Journal Club Webinar dedicated to our JAMIA publication
11/2020 First-authored paper on qualitative evaluation of LLMs accepted at ACM-BCB
05/2020 First-authored paper on co-occurrence network embeddings published at JAMIA
04/2020 Co-authored paper on teaching CS in a small classroom accepted at MICS
03/2020 Two articles I wrote about Mayo Clinic and the COVID-19 pandemic: here and here
02/2020 Joined Mayo Clinic as a Research Intern
12/2019 First-authored paper on CCL language design and type theory is out
06/2019 First-authored paper on the analysis of IRA disinformation campaign is out
01/2019 First-authored paper on the topology of robotic configuration and motion planning is out
06/2018 Check out college news article on my summer research in unit testing
08/2017 Started undergraduate studies at Luther College