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 am an AI researcher and software engineer. I work as an Applied Scientist at Amazon and am a member of the Special Projects Group within Amazon Ads Science (Amazon Science). Before joining Amazon, I was a Machine Learning Research Scientist at the University of Pittsburgh and served as the Associate Director of the PittNAIL Lab, working on all things LLM. At Pitt, I also connected our lab with HealthUnity, where we studied Generative AI, with an emphasis on LLMs and applications in healthcare. Prior to Pitt, I worked as a Research Engineer at DawnLight, a Sequoia Capital-backed Silicon Valley startup in ambient intelligence and edge computing. I also worked for Mayo Clinic as an AI Researcher, focusing on transformer models and graph-based methods (see full bio here).
You can get my contact card by running the following command:
$ curl -Ls oniani.org/card | sh
News [Log]
10/2024
First-authored paper accepted at Amazon Machine Learning Conference (AMLC) 2024!07/2024
Co-authored paper on Using NLP for Extracting Sleep Information published at JAMIA06/2024
Joined Amazon as an Applied Scientist!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 Scientist08/2021
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