I am a cofounder and Chief Science Officer at Striveworks,
where my primary focus is leading the research
and development team.
Prior to Striveworks I was a Senior Data Scientist at SparkCognition.
Before working in machine learning I was a postdoctoral researcher at the University of Texas at Austin
in the
department of Mathematics. I did my PhD in Mathematics at the University of Pennsylvania and my BS at
the University of Pittsburgh.
Projects & research
Below are some of my current focus points.
Model evaluation
My team at Striveworks has been working on techniques, infrastructure, and processes for evaluating machine
learning models. The biggest output here has been our open source evaluation service, valor.
Topological deep learning
I've been interested in how techniques such as autoencoders, contrastive learning, and metric learning can be
used to learn topological structures of spaces of data. Some papers/preprints are:
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