Brendon O'Leary

Brendon O'Leary has a diverse work experience in the field of data science and physics. Brendon started their career as a Ph.D. candidate in Physics at Yale University in 2010, where they developed a method to determine count rates on single photon detectors and designed laser stabilization systems. Brendon also gained teaching experience by lecturing in and facilitating undergraduate physics labs.

After completing their Ph.D., Brendon worked as a Research Associate at Harvard University from 2012 to 2016. During this time, they were involved in the ACME Collaboration, conducting precise measurements of the electron's electric dipole moment and analyzing fluorescence time series data. Brendon developed parameter correlation visualizations to identify anomalous signals in the data.

In 2016, Brendon joined Insight Data Science as a Data Science Fellow, where they developed a model called FaultFindr to predict laptop failure modes using Natural Language Processing and machine learning models. Brendon also created a web app with visualizations to compare products.

Following their time at Insight, Brendon worked at MakerBot as a Data Scientist in 2016 and 2017. Brendon built predictive models and pipelines to leverage the company's data and developed user segmentation and A/B testing platforms for marketing campaigns.

Brendon'smost recent role was as a Data Scientist at SeatGeek, starting in 2017. No specific end dates are provided for this role.

Brendon O'Leary has an extensive education history in the field of physics. Brendon first attended the College of the Holy Cross from 2006 to 2010, where they obtained a Bachelor's Degree in Physics and Chemistry. Following their undergraduate studies, O'Leary pursued further academic achievements at Yale University from 2010 to 2016. During this period, they successfully completed a Doctor of Philosophy (Ph.D.) in Physics.