About Me

Hello ~ I am a Protein Machine Learning Fellow at The Align Foundation

Current research interests include

• understanding scaling laws for biology ML models,
• building beautiful visualizations of protein sequence data,
• producing high-throughput and high quality wetlab data,
• creating useful evaluation benchmarks for the field of protein design.

Graduate Training:

• I did my PhD in Debora Marks’ lab in the Department of Systems Biology at Harvad Medical School.
• I was in the Biological and Biomedical Science PhD program as well as the Therapeutics Graduate Program.
• Here’s a link to my thesis! The acknowledgments are honesty the best part ;)

During graduate school, most of my time was spent:

• designing new enzymes,
• building benchmarks and evaluations for predicting variant effects and generating new molecules,
• developing methods for combining natural sequence data with labeled experimental data,
• and mentoring future/current scientists.

Undergraduate Training:

• I studied Genetics and Plant Biology at UC Berkeley (go bears!) with a minor in Food Systems.
• Notably, I took “calculus for business majors” in 2014 and did not take another math class until graduate school in 2021! :sob:
• I poked CasX with Ben Oakes in the labs of Dave Savage and Jennifer Doudna.

During undergraduate training, most of my time was spent:

• pipetting
• more pipetting…
• honestly, it was so much pipetting
• working in a bakery (i.e. pipetting at scale)
• writing 3 min, 10 min, and full length plays with T4C (aka Theater for Charity )

Much of my research is published on open platforms.

If there’s a paper that is published elsewhere that you’d like full access to, please email me and I will get you a PDF.

I’ve been the guest on a few podcasts! Listen to me talk science here:

• Finding Genius Podcast, New CRISPR Protein and Genome Editing Techniques Using Machine Learning Techniques, recording
• BOS Science, Sound-Byte 2: PRIDE in STEM, recording

If you want to chat, feel free to reach out via email :)

Find my Google Scholar here