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https://www.amazon.science/Amazon Science
https://github.com/oniani
https://www.youtube.com/@davidoniani
https://scholar.google.com/citations?user=6cGHDTcAAAAJ&hl=en
https://orcid.org/0000-0002-9221-3059
https://www.linkedin.com/in/davidoniani
https://en.wikipedia.org/wiki/Artificial_intelligenceArtificial Intelligence
https://en.wikipedia.org/wiki/Software_systemSoftware Systems
https://en.wikipedia.org/wiki/AI_alignmentAI Alignment
https://en.wikipedia.org/wiki/Bio-inspired_computingBIC

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                    David Oniani
                
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                                <a href="https://oniani.org">Main</a>
                            
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                            <span style="font-size: 16pt;">David Oniani</span><br>
                            
                                Applied Scientist II @ Amazon
                                
                                    <a href="https://www.amazon.science/" class="svg">
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                            <a href="https://oniani.org/pdf/cv.pdf">Curriculum Vitae</a><br>
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                            Research Topics<br>
                            <ul>
                                
                                    <li><a href="https://en.wikipedia.org/wiki/Artificial_intelligence">Artificial Intelligence</a></li>
                                
                                    <li><a href="https://en.wikipedia.org/wiki/Software_system">Software Systems</a></li>
                                
                                    <li><a href="https://en.wikipedia.org/wiki/AI_alignment">AI Alignment</a></li>
                                
                                    <li><a href="">AI for Science</a></li>
                                
                            </ul>

                            Other interests include
                            
                                
                                    <a href="https://en.wikipedia.org/wiki/Bio-inspired_computing">BIC</a>
                                
                            
                                
                                    and <a href="https://en.wikipedia.org/wiki/Quantum_computing">QC</a>
                                
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                    <!-- Bio {{{ -->
<blockquote>
<p>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.
— <a href="https://en.wikipedia.org/wiki/Edward_Witten">Prof. Edward Witten</a></p>
</blockquote>
<p>I am an AI researcher and software engineer. I work as an Applied Scientist at <a href="https://www.amazon.science/">Amazon</a> and
am a member of the Special Projects Group within <a href="https://www.amazon.jobs/content/en/teams/advertising/applied-science-machine-learning-research">Amazon Ads Science</a>
(<a href="https://www.amazon.science/">Amazon Science</a>). Before joining Amazon, I was a Machine Learning Research
Scientist at the <a href="https://www.pitt.edu/">University of Pittsburgh</a> and served as the Associate Director of the
<a href="https://pittnail.github.io/">PittNAIL Lab</a>, working on all things <a href="https://en.wikipedia.org/wiki/Large_language_model">LLM</a>. At Pitt, I also connected our lab with
<a href="https://www.healthunity.org/team">HealthUnity</a>, where we studied <a href="https://en.wikipedia.org/wiki/Generative_artificial_intelligence">Generative AI</a>, with an emphasis on LLMs and
applications in healthcare. Prior to Pitt, I worked as a Research Engineer at
<a href="https://www.crunchbase.com/organization/dawnlight">DawnLight</a>, a <a href="https://www.sequoiacap.com/">Sequoia Capital</a>-backed Silicon Valley startup in ambient
intelligence and edge computing. I also worked for <a href="https://www.mayo.edu/research/centers-programs/robert-d-patricia-e-kern-center-science-health-care-delivery/about/overview">Mayo Clinic</a> as an AI Researcher, focusing
on transformer models and graph-based methods (see <a href="/bio">full bio here</a>).</p>
<p>You can get my contact card by running the following command:</p>
<pre data-lang="console" style="background-color:#151515;color:#e8e8d3;" class="language-console "><code class="language-console" data-lang="console"><span>$ curl -Ls oniani.org/card | sh
</span></code></pre>
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<!-- News {{{ -->
<details>
<summary>News [Log]</summary>
<ul>
<li><code>10/2024</code> First-authored paper accepted at Amazon Machine Learning Conference (AMLC) 2024!</li>
<li><code>07/2024</code> Co-authored paper on <a href="https://academic.oup.com/jamia/advance-article-abstract/doi/10.1093/jamia/ocae177/7713266">Using NLP for Extracting Sleep Information</a> published at JAMIA</li>
<li><code>06/2024</code> Joined Amazon as an Applied Scientist!</li>
<li><code>05/2024</code> First-authored paper on <a href="https://www.nature.com/articles/s41598-024-61124-0">LLMs for generating drug indications</a> published at <a href="https://www.nature.com/srep/">Scientific Reports</a></li>
<li><code>04/2024</code> First-authored paper on <a href="https://www.computer.org/csdl/proceedings-article/ichi/2024/837300a694/1ZCh0aK3tao">LLMs for Clinical Decision Support (CDS)</a> accepted at <a href="https://mahmoud-elbattah.github.io/ichiworkshop2024/">IEEE Human-Centred XAI Workshop</a></li>
<li><code>04/2024</code> Co-authored abstract on <a href="https://meetings.asco.org/abstracts-presentations/237330">LLMs for Bone Cancer</a> accepted at <a href="https://meetings.asco.org/meetings/2024-asco-annual-meeting/316/program-guide/scheduled-sessions">ASCO 2024</a></li>
<li><code>03/2024</code> Co-authored paper on Generative LLM Metrics published at <a href="https://www.nature.com/articles/s41746-024-01074-z">Nature's npj Digital Medicine</a></li>
<li><code>03/2024</code> Inducted as a Full Member into <a href="https://en.wikipedia.org/wiki/Sigma_Xi">Sigma Xi</a></li>
<li><code>03/2024</code> Co-authored paper on using NLP for addressing housing instability published at <a href="https://www.cambridge.org/core/journals/journal-of-clinical-and-translational-science">JCTS</a></li>
<li><code>01/2024</code> Co-authored paper on Information Retrieval (IR) literature review published at <a href="https://link.springer.com/article/10.1007/s41666-024-00159-4">JHIR</a></li>
<li><code>12/2023</code> Check out news articles on our recent Generative AI Ethics publication [<a href="https://www.news-medical.net/news/20231205/GREAT-PLEA-system-proposed-for-responsible-use-of-generative-AI-in-healthcare.aspx">1</a>] [<a href="https://aiin.healthcare/topics/artificial-intelligence/ethical-healthcare-ai-8-mnemonic-elements">2</a>] [<a href="https://www.marktechpost.com/2023/12/05/this-ai-paper-proposes-great-plea-ethical-framework-a-military-inspired-approach-for-responsible-ai-in-healthcare/">3</a>] [<a href="https://www.azoai.com/news/20231208/GREAT-PLEA-Ethical-Principles-for-Generative-AI-in-Healthcare.aspx">4</a>]</li>
<li><code>12/2023</code> First-authored paper on Generative AI Ethics published at <a href="https://www.nature.com/articles/s41746-023-00965-x">Nature's npj Digital Medicine</a></li>
<li><code>11/2023</code> First-authored paper on In-Context Learning (ICL) released on <a href="https://arxiv.org/abs/2311.12538">arXiv</a></li>
<li><code>08/2023</code> First-authored paper on LLMs Vote prompting released on <a href="https://arxiv.org/abs/2308.12890">arXiv</a></li>
<li><code>09/2023</code> First-authored paper on ReDWINE published at <a href="https://www.sciencedirect.com/science/article/pii/S1386505623001624">IJMI</a></li>
<li><code>06/2023</code> First-authored paper on SNNs for FSL was published at <a href="https://ai.jmir.org/2023/1/e44293">JMIR AI</a></li>
<li><code>04/2023</code> Joined <a href="https://healthunity.org/team/">HealthUnity</a> as a collaborator</li>
<li><code>12/2022</code> First-authored paper on NMT models for health literacy accepted at <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10283125/">AMIA Summit</a></li>
<li><code>12/2022</code> Co-authored paper on rule-based NLP for Alzheimer's Disease IE released on <a href="https://arxiv.org/abs/2204.09601">arXiv</a></li>
<li><code>02/2022</code> Joined <a href="https://www.pitt.edu/">University of Pittsburgh</a> as a <a href="https://www.shrs.pitt.edu/people/david-oniani">Machine Learning Research Scientist</a></li>
<li><code>08/2021</code> Co-authored paper on SBDH in the era of AI was published at <a href="https://spj.science.org/doi/10.34133/2021/9759016">Health Data Science</a></li>
<li><code>06/2021</code> Joined <a href="https://www.linkedin.com/company/dawnlight/about/">DawnLight</a> as a Research Engineer</li>
<li><code>05/2021</code> Finished undergraduate studies at <a href="https://www.luther.edu/">Luther College</a></li>
<li><code>05/2021</code> The spotlight of the <a href="https://oniani.org/04/https://github.com/LutherNavigator">Luther Navigator</a> project (that I dreamed up) in the <a href="https://www.luther.edu/magazine/articles/where-will-you-go">Luther Magazine</a></li>
<li><code>04/2021</code> Joined <a href="https://www.linkedin.com/company/dawnlight/about/">DawnLight</a> as a Machine Learning Intern</li>
<li><code>10/2020</code> Inducted into <a href="https://en.wikipedia.org/wiki/Pi_Mu_Epsilon">Pi Mu Epsilon</a>!</li>
<li><code>10/2020</code> The spotlight of my internship at Mayo in the <a href="https://www2.luther.edu/magazine/?story_id=921229&amp;issue_id=920967">Luther Magazine Fall 2020 article</a></li>
<li><code>05/2020</code> Presented at the <a href="https://amia.org/education-events/education-catalog/jamia-journal-club-webinar-july-2020">JAMIA Journal Club Webinar</a> dedicated to our <a href="https://academic.oup.com/jamia/advance-article/doi/10.1093/jamia/ocaa117/5847598">JAMIA publication</a></li>
<li><code>11/2020</code> First-authored paper on qualitative evaluation of LLMs accepted at <a href="https://dl.acm.org/doi/abs/10.1145/3388440.3412413">ACM-BCB</a></li>
<li><code>05/2020</code> First-authored paper on co-occurrence network embeddings published at <a href="https://academic.oup.com/jamia/advance-article/doi/10.1093/jamia/ocaa117/5847598">JAMIA</a></li>
<li><code>04/2020</code> Co-authored paper on teaching CS in a small classroom accepted at <a href="http://www.micsymposium.org/mics_2020_Proceedings/MICS_2020_Proceedings.htm">MICS</a></li>
<li><code>03/2020</code> Two articles I wrote about Mayo Clinic and the COVID-19 pandemic: <a href="https://www2.luther.edu/long-term-blogs/rochester/?story_id=905337">here</a> and <a href="http://127.0.0.1:1111/blog/covid-19-and-transition-into-full-time-summer-work/">here</a></li>
<li><code>02/2020</code> Joined <a href="https://www.mayoclinic.org/">Mayo Clinic</a> as a Research Intern</li>
<li><code>12/2019</code> First-authored paper on <a href="/pdf/ccl.pdf">CCL language design and type theory</a> is out</li>
<li><code>06/2019</code> First-authored paper on <a href="/pdf/ira.pdf">the analysis of IRA disinformation campaign</a> is out</li>
<li><code>01/2019</code> First-authored paper on <a href="/pdf/agv.pdf">the topology of robotic configuration and motion planning</a> is out</li>
<li><code>06/2018</code> Check out college <a href="https://www.luther.edu/news/david-oniani-summer-research">news article</a> on my summer research in unit testing</li>
<li><code>08/2017</code> Started undergraduate studies at <a href="https://www.luther.edu/">Luther College</a></li>
</ul>
</details>
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