Technical & academic
Applied ML since 2009
I got online telneting to a public library in Nebraska over a 2,400-baud modem and ran
BBSs in the '90s. Long before I formally studied AI, the instincts were there — I
automated a biology PhD student's data extraction from her cell strains using Photoshop
filters, and proposed decision trees for a Columbia master's student's questions about
energy use. They were machine-learning problems before I had the name for them.
Then the formal path: a PhD in computer science from the University of Chicago, applied
machine learning since 2009, and graduate teaching at UC Berkeley and SMU. I advise
companies as a CTO and Chief AI Officer — today at the deep-tech company TAP — and have
founded and led Silicon Valley Bank's AI Lab, run special projects alongside Andrew Ng
at DeepLearning.AI, led the SAP–MIT Sloan collaboration, and advise a NASA Goddard team
on computer vision for Europa and Titan. The through-line is legibility.
Work with me →
Photography & media
A previous life
My other life is visual — a natural home for a Middlebury double major in English and
film. I cut film on Media 100, Avid, Final Cut, and Premiere as a photojournalist and
multimedia producer, including work with the agency VII Photo.
I printed an exhibit for the war photographer James Nachtwey that was shown in the lobby
of the United Nations, and edited films screened in its General Assembly, both in New
York. That work continues today as
scrocco — the same
discipline as the science: choosing what to leave out.