Andrew Rader (AJ)

Andrew (AJ) Rader, PhD has extensive experience in the field of data science and computational research. Andrew (AJ) is currently the Director of Data Science at DMC Insurance, Inc. In this role, they are responsible for leveraging machine learning and statistical analysis techniques to analyze insurance and business datasets.

Prior to their current position, AJ worked as a Data Scientist at Odyssey from 2016 to 2017. Here, they employed their expertise in data mining and statistical analysis to contribute to the company's objectives.

From 2013 to 2016, AJ held multiple positions at State Farm, including Data Scientist, Sr. Statistician and Statistician. During their tenure, they applied a variety of machine learning and data mining techniques to insurance and business datasets, working with relational databases, time series data, and log files. AJ also developed applications involving classifiers, clustering, recommenders, survival analysis, and text mining.

Before joining State Farm, AJ served as a Computational Structural Scientist/Chemist at Volt Workforce Solutions, onsite at Eli Lilly and Company. In this role, they conducted research in computational chemistry and structural biophysics, modeling protein structures and running molecular dynamics simulations. AJ also developed software to parse, evaluate, analyze, and simulate experimental measurements of protein structure and dynamics.

AJ began their professional career in academia, starting as an Assistant Professor at Indiana University Purdue University Indianapolis from 2005 to 2012. Andrew (AJ)'sresearch focused on uncovering trends in physiochemical properties and protein structure-function relationships using statistics, modeling, and simulation. AJ performed extensive molecular dynamics, Monte Carlo, atomistic, and coarse-grained simulations to understand the role of structural flexibility and motion in ligand binding, conformational changes, and thermodynamics.

Prior to their role at Indiana University Purdue University Indianapolis, AJ was a Research Associate at the University of Pittsburgh from 2003 to 2005. Here, they conducted independent research in computational biology and bioinformatics, developing and applying novel network-based models of proteins. AJ also performed molecular dynamics, Monte Carlo, and coarse-grained simulations to analyze protein function, motion, and binding.

AJ's research journey started at Michigan State University, where they worked as a Research Assistant from 1998 to 2002. Andrew (AJ) studied rigidity percolation in network glasses and proteins, developing a novel network-based model to determine protein function, motion, and binding. AJ also created the FIRST software to analyze protein rigidity and flexibility.

During their time at Michigan State University, AJ also served as a Teaching Assistant from 1996 to 1997, and as an Undergraduate Research Assistant at the University of Houston from 1994 to 1996. In these roles, they conducted research on anti-reflection coating of photovoltaic devices, utilizing various laboratory techniques and working in a clean room environment.

Overall, AJ Rader, PhD has an extensive background in data science, computational research, and academia, with a focus on applying statistical analysis, machine learning, and simulation techniques to a wide range of datasets and research areas.

Andrew (AJ) Rader, PhD began their education at Bremen High School, but the specific dates of their attendance are unknown. After high school, they attended the University of Houston from 1992 to 1996 and earned a B.S. degree in Physics and Mathematics. Andrew (AJ) then went on to study at Michigan State University, where they obtained an M.S. degree in Physics from 1996 to 1998. Andrew continued their education at Michigan State University and completed their Ph.D. in Physics and Biochemistry from 1998 to 2002.