Those interested in hiring us for consulting projects should feel free to contact us on social media — either via private tweet or directly on LinkedIn. We specialize in various aspects of data science and math modeling and are also available for in-office tutorials.
Jonathan
Landy (LinkedIn)
grew up in the Midwest and then went to school at Caltech and UCLA. Following
this, he did two postdocs, one at UCSB and one at UC Berkeley. His academic
research focused primarily on applications of statistical mechanics, but his
professional passion has always been in the mastering, development, and
practical application of slick math methods/tools. He currently works as a
data-scientist at Stitch Fix.
Damien Ramunno-Johnson
(LinkedIn,
Twitter) is a highly experienced
researcher with a background in clinical and applied research. Like,
JSL, he got his PhD at UCLA. He has many years of experience working
with imaging, and has a particularly strong background in image
segmentation, registration, detection, data analysis, and more
recently machine learning. He now works as a data-scientist at Square
in San Francisco.
Cathy Yeh got a PhD at UC Santa Barbara studying soft-matter/polymer physics. After stints in a translational modeling group at Pfizer in San Diego, Driver (a no longer extant startup trying to match cancer patients to clinical trials) in San Francisco, and Square, she is currently participating in the OpenAI Scholars program.
Dustin
McIntosh
(LinkedIn) got a
B.S in Engineering Physics from the Colorado School of Mines (Golden,
CO) before moving to UC Santa Barbara for graduate school. There he
became interested in Soft Condensed Matter Physics and Polymer
Physics, studying the interaction between single DNA molecules and
salt ions
(Google Scholar). After
a brief postdoc at UC San Diego studying the physics of bacterial
growth, Dustin decided to move into the data science business for
good - he is now a Quantitative Analyst at Google in Mountain View.