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_news/240114_ignite.md

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Beginning [Stanford Ignite](https://www.gsb.stanford.edu/exec-ed/programs/stanford-ignite) at the [Graduate School of Business](https://www.gsb.stanford.edu/) and joining the 2024 cohort of [Cardinal Venture](https://www.cardinalventures.org/)'s Technical Founders!
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Began [Stanford Ignite](https://www.gsb.stanford.edu/exec-ed/programs/stanford-ignite) at the [Graduate School of Business](https://www.gsb.stanford.edu/) and joined the 2024 cohort of [Cardinal Venture](https://www.cardinalventures.org/)'s Technical Founders!

_news/240331_llm_pres.md

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Presented our LLM adaptation work at the [Apple ML](https://machinelearning.apple.com/) Health Workshop, the [University of Oxford](https://www.ox.ac.uk/), and the [London School of Economics](https://www.lse.ac.uk/).
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Presented our LLM work at the [Apple ML](https://machinelearning.apple.com/) Health Workshop, the [University of Oxford](https://www.ox.ac.uk/), and the [London School of Economics](https://www.lse.ac.uk/).

_news/240524_defense.md renamed to _news/240901_defense.md

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date: 2024-05-24 15:59:00-0400
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date: 2024-09-01 15:59:00-0400
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_pages/about.md

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I’m passionate about using data to solve important problems in areas such as healthcare, education, and social equity. My primary ambition is to guide emerging technology’s impact toward beneficial outcomes.
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[//]: # I’m passionate about using data to solve important problems in areas such as healthcare, education, and social equity. My primary ambition is to guide emerging technology’s impact toward beneficial outcomes.
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[//]: # I’m passionate about leveraging emerging technology to address critical problems in healthcare. My goal is to create a system that is more equitable, efficient, and patient-centric.
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I’m passionate about leveraging emerging technology to make healthcare more equitable, efficient, and patient-centric.
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Currently I am a final-year PhD candidate in Stanford's Electrical Engineering (EE) Dept advised by <a href="https://web.stanford.edu/~pauly/">John Pauly</a> and <a href="https://profiles.stanford.edu/akshay-chaudhari">Akshay Chaudhari</a>.<br>
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My research includes two major threads:
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1. developing foundation models to improve healthcare outcomes
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2. designing machine learning (ML) algorithms for inverse problems in computational imaging and signal processing
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[//]: # [once i have a few blog posts] mention personal growth / outdoor adventure, point to blog
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<div style="margin-top: 30px;"></div>
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## bio
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Prior to beginning his PhD, Dave spent two years as a research scientist at a Bay Area <a href="https://subtlemedical.com/">start-up</a> and the <a href="https://aimi.stanford.edu/">Artificial Intelligence in Medicine & Imaging (AIMI)</a> center at Stanford.
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Previously he earned a MS in EE at the University of Texas conducting ML research under <a href="https://users.ece.utexas.edu/~dimakis/">Alex Dimakis</a>
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and <a href="http://sriram.utlinc.org/#/">Sriram Vishwanath</a>, during which he also served as a <a href="https://www.datascienceforsocialgood.org/">Data Science for Social Good</a> fellow in London.
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Before that Dave earned a BS in EE at the University of Wisconsin, where he created and led a 150-person <a href="https://universityresearchpark.org/badgerloops-run-for-hyperloop-glory-captures-the-attention-of-elon-musk/">organization</a> to build a hyperloop pod for SpaceX.
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<br>
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Before that Dave earned a BS in EE at the University of Wisconsin, where he founded and led a 150-person <a href="https://universityresearchpark.org/badgerloops-run-for-hyperloop-glory-captures-the-attention-of-elon-musk/">organization</a> to build a hyperloop pod for SpaceX.
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<div style="margin-top: 40px;"></div>

assets/pdf/cv_dave_vv.pdf

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