- ID de l'analyse :
- 287884bf-1e97-4283-97f0-3fa215ac3c77Terminée
- URL soumise :
- https://oniani.org/
- Fin du rapport :
Liens : 59 trouvé(s)
Liens sortants identifiés à partir de la page
| Lien | texte |
|---|---|
| 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_intelligence | Artificial Intelligence |
| https://en.wikipedia.org/wiki/Software_system | Software Systems |
| https://en.wikipedia.org/wiki/AI_alignment | AI Alignment |
| https://en.wikipedia.org/wiki/Bio-inspired_computing | BIC |
Variables JavaScript : 11 trouvée(s)
Les variables JavaScript globales chargées dans l'objet fenêtre d'une page sont des variables déclarées en dehors des fonctions et accessibles depuis n'importe quel endroit du code au sein du champ d'application actuel
| Nom | Type |
|---|---|
| onbeforetoggle | object |
| documentPictureInPicture | object |
| onscrollend | object |
| gtag | function |
| dataLayer | object |
| katex | object |
| renderMathInElement | function |
| google_tag_manager | object |
| google_tag_data | object |
| onYouTubeIframeAPIReady | function |
Messages de journal de console : 0 trouvé(s)
Messages consignés dans la console web
HTML
Le corps HTML de la page en données brutes
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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">
<img style="vertical-align: top;" height="24" width="24" src="/icons/amazon.svg" alt="Applied Scientist II @ Amazon">
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<br>
<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>
<br>
</div>
</div>
<!-- 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>
<!-- }}} -->
<!-- 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&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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