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 itβs worth answering, but little enough that you actually can answer it. β 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
05/2024
First-authored paper on LLMs for generating drug indications published at Scientific Reports04/2024
First-authored paper on LLMs for Clinical Decision Support (CDS) accepted at IEEE Human-Centred XAI Workshop04/2024
Co-authored abstract on LLMs for Bone Cancer accepted at ASCO 202403/2024
Co-authored paper on Generative LLM Metrics published at Nature's npj Digital Medicine03/2024
Inducted as a Full Member into Sigma Xi03/2024
Co-authored paper on using NLP for addressing housing instability published at JCTS01/2024
Co-authored paper on Information Retrieval (IR) literature review published at JHIR12/2023
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 Medicine11/2023
First-authored paper on In-Context Learning (ICL) released on arXiv08/2023
First-authored paper on LLMs Vote prompting released on arXiv09/2023
First-authored paper on ReDWINE published at IJMI06/2023
First-authored paper on SNNs for FSL was published at JMIR AI04/2023
Joined HealthUnity as a collaborator12/2022
First-authored paper on NMT models for health literacy accepted at AMIA Summit12/2022
Co-authored paper on rule-based NLP for Alzheimer's Disease IE released on arXiv02/2022
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 Science06/2021
Joined DawnLight as a Research Engineer05/2021
Finished undergraduate studies at Luther College05/2021
The spotlight of the Luther Navigator project (that I dreamed up) in the Luther Magazine04/2021
Joined DawnLight as a Machine Learning Intern10/2020
Inducted into Pi Mu Epsilon!10/2020
The spotlight of my internship at Mayo in the Luther Magazine Fall 2020 article05/2020
Presented at the JAMIA Journal Club Webinar dedicated to our JAMIA publication11/2020
First-authored paper on qualitative evaluation of LLMs accepted at ACM-BCB05/2020
First-authored paper on co-occurrence network embeddings published at JAMIA04/2020
Co-authored paper on teaching CS in a small classroom accepted at MICS03/2020
Two articles I wrote about Mayo Clinic and the COVID-19 pandemic: here and here02/2020
Joined Mayo Clinic as a Research Intern12/2019
First-authored paper on CCL language design and type theory is out06/2019
First-authored paper on the analysis of IRA disinformation campaign is out01/2019
First-authored paper on the topology of robotic configuration and motion planning is out06/2018
Check out college news article on my summer research in unit testing08/2017
Started undergraduate studies at Luther College