Larry Hernandez

Larry H. has a diverse work experience in the fields of machine learning, deep learning, and actuarial analysis. Larry is currently working as a Machine Learning Engineer at AvaSure. Prior to that, they worked as a Postdoctoral Researcher in Applied Deep Learning at the University of California San Diego from January 2020 to August 2022.

Larry also has experience as a Research Fellow in Applied Machine Learning at the University of Michigan Medical School from November 2017 to October 2019. In this role, they contributed to the development of an early warning system for the intensive care unit (ICU) that aims to monitor cardiac patients and predict complications during post-surgical recovery.

Earlier in their career, Larry worked as an MRI Scientist at the University of Wisconsin-Madison from September 2009 to August 2016. In this role, they developed new 3D MRI scans and implemented a specific scan called 'Rosette'.

Larry also has experience as an Actuarial Analyst at Watson Wyatt, where they worked on various aspects of retirement plan valuation, including pension data analysis, calculation of pension liabilities, non-discrimination testing, and pension benefit calculations.

Overall, Larry H. has a strong background in machine learning, deep learning, and actuarial analysis, with experience in both research and applied settings.

Larry H. has a B.A. in Applied Mathematics & Physics from the University of California, Berkeley. Larry also holds a Ph.D. in Medical Physics with a minor in Mathematics from the University of Wisconsin-Madison. In terms of additional certifications, Larry has obtained Actuarial Exam FM (Financial Mathematics) from the Society of Actuaries in May 2008 and Actuarial Exam P (Probability) from the same institution in August 2007. Additionally, they have pursued a Machine Learning Engineer Nanodegree from Udacity, although the specific completion month and year are unknown.