Peter M. Landwehr

Pete[r] M. Landwehr has a diverse work experience spanning various roles and industries. Starting from 2005, they served as a Technical Summer Intern at MITRE, where they worked on a research project focused on detecting insider threats using packet data. Pete[r] M. also managed Linux and Solaris machines for data storage.

In 2006, Landwehr joined Lumity as a Project 55 Fellow, providing technical advice, consulting, and training to not-for-profit organizations in the Chicago area. Pete[r] M. was also involved in tracking discussions about the potential implementation of municipal Wi-Fi in the city.

Moving on, Landwehr served as an Eric & Wendy Schmidt Data Science for Social Good Summer Fellow at the University of Chicago in 2014. Here, they worked with a team of fellows to analyze data and identify eligible individuals for health coverage under the ACA. The analysis included building models and visuals using R and Python.

From 2015 to 2017, Landwehr worked as a Computer Scientist at Giant Oak, Inc., where they developed analytic metrics from extracted data related to human trafficking. Pete[r] M. also collaborated with different teams to incorporate the data into analytic pipelines for use by analysts.

In 2017, Landwehr joined Cytovale as a Senior Data Scientist and later transitioned to the role of Staff Data Scientist & Data Engineer in March 2022. Not much detail is available about their responsibilities in these positions.

Throughout their career, Landwehr has demonstrated their proficiency in various programming languages such as Python, Java, R, and has utilized their skills in data acquisition, parsing, and analysis. Pete[r] M.'sinterests and projects have covered areas like social network analysis, social simulation, machine learning, and statistics.

Peter M. Landwehr's education history includes multiple degrees from prestigious institutions. Pete[r] M. attended Princeton University from 2002 to 2006, earning a Bachelor of Arts (A.B.) degree and a Bachelor's degree in Computer Science. Later, they pursued further education at Carnegie Mellon University from 2007 to 2010, obtaining a Master of Science (MSc) degree in Computation, Organization, and Society. Finally, from 2010 to 2013, they continued their studies at Carnegie Mellon University, working towards a proposed Doctor of Philosophy (Ph.D.) degree in Computation, Organizations, and Society.