https://austintripp.ca/enContents © 2026 <a href="mailto:austin.james.tripp[at]gmail.com">Austin Tripp</a> MIT LicenseMon, 04 May 2026 15:48:03 GMTNikola (getnikola.com)http://blogs.law.harvard.edu/tech/rsshttps://austintripp.ca/blog/2026-03-11-drug-hunters/Austin Tripp<div><div class="alert alert-info"> <p> This is a re-post from my <a href="https://github.com/AustinT/book-summaries/blob/master/non-fiction/2026-03-11-drug-hunters.md">book summaries repo</a>, which is my main home for book summaries. I'm posting here because this book is more work-relevant than usual. </p> </div> <p><a href="https://austintripp.ca/blog/2026-03-11-drug-hunters/">Read more…</a> (3 min remaining to read)</p></div>bookdrug discoveryhttps://austintripp.ca/blog/2026-03-11-drug-hunters/Wed, 11 Mar 2026 12:00:00 GMThttps://austintripp.ca/blog/2025-05-13-ml-toxicity-pred/Austin Tripp<div><p>I recently read <a href="https://pubs.acs.org/doi/10.1021/acs.chemrestox.5c00033">a review paper by Seal et al</a> about machine learning for toxicity prediction. Given the length of the paper I thought I would share my important takeaways. Disclaimer: not everything in this post was part of the paper, and not everything in the paper is reflected in this post.</p> <p><a href="https://austintripp.ca/blog/2025-05-13-ml-toxicity-pred/">Read more…</a> (4 min remaining to read)</p></div>chemistrydrug discoverymachine learningmedicineresearch papershttps://austintripp.ca/blog/2025-05-13-ml-toxicity-pred/Tue, 13 May 2025 00:00:00 GMT