CV

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Education

B.S. in Mathematics, University of Maryland, College Park, 2012
Ph.D in Electrical and Computer Engineering, University of Washington, 2019

Employment

Applied Scientist (2012—present)
- Pacific Northwest National Laboratory
- Physical and Computational Sciences Directorate
Graduate Research/Teaching Assistant (2015—2019)
- University of Washington
- Supervisor: Baosen Zhang
- EE 559 “Data Science for Power Systems” course notebooks

Service and leadership

Cofounder of the Maryland Men’s Crew Alumni Association, 501(c)(3) non-profit established in 2014 to financially support the University of Maryland’s men’s crew program.
Communications Fellow, Pacific Science Center’s Science Communications program
Graduate Fellow, University of Washington Clean Energy Institute
Torrance Howard Tech Due Diligence Analyst

Publications

Jargon and graph modularity on twitter

Chase Dowling, Courtney Corley, Robert Farber, William Reynolds, "Jargon and graph modularity on twitter." In the proceedings of 2013 IEEE International Conference on Intelligence and Security Informatics, 2013.

Social sensor analytics: Measuring phenomenology at scale

Courtney Corley, Chase Dowling, Stuart Rose, Taylor McKenzie, "Social sensor analytics: Measuring phenomenology at scale." In the proceedings of 2013 IEEE International Conference on Intelligence and Security Informatics, 2013.

Sociolect-based community detection

William Reynolds, William Salter, Robert Farber, Courtney Corley, Chase Dowling, William Beeman, Lynn Smith-Lovin, Joon Choi, "Sociolect-based community detection." In the proceedings of 2013 IEEE International Conference on Intelligence and Security Informatics, 2013.

Assessment of user home location geoinference methods

Joshua Harrison, Eric Bell, Court Corley, Chase Dowling, Andrew Cowell, "Assessment of user home location geoinference methods." In the proceedings of 2015 IEEE International Conference on Intelligence and Security Informatics (ISI), 2015.

Informatics Approaches to Data Preservation and Analysis in Protein Electrostatics

Nathan Baker, Chase Dowling, Luke Gosink, Trenton Pulsipher, Susanna-Assunta Sansone, "Informatics Approaches to Data Preservation and Analysis in Protein Electrostatics." Biophysical Journal, 2015.

Social sensor analytics: Making sense of network models in social media

Chase Dowling, Joshua Harrison, Arun Sathanur, Landon Sego, Courtney Corley, "Social sensor analytics: Making sense of network models in social media." In the proceedings of 2015 IEEE International Conference on Intelligence and Security Informatics (ISI), 2015.

To observe or not to observe: Queuing game framework for urban parking

Lillian Ratliff, Chase Dowling, Eric Mazumdar, Baosen Zhang, "To observe or not to observe: Queuing game framework for urban parking." In the proceedings of 2016 IEEE 55th Conference on Decision and Control (CDC), 2016.

Optimizing curbside parking resources subject to congestion constraints

Chase Dowling, Tanner Fiez, Lillian Ratliff, Baosen Zhang, "Optimizing curbside parking resources subject to congestion constraints." In the proceedings of 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017.

Using social media to predict the future: a systematic literature review

Lawrence Phillips, Chase Dowling, Kyle Shaffer, Nathan Hodas, Svitlana Volkova, "Using social media to predict the future: a systematic literature review." arXiv preprint arXiv:1706.06134, 2017.

Coincident Peak Prediction Using a Feed-Forward Neural Network

Chase Dowling, Daniel Kirschen, Baosen Zhang, "Coincident Peak Prediction Using a Feed-Forward Neural Network." In the proceedings of 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018.

Data Driven Spatio-Temporal Modeling of Parking Demand

Tanner Fiez, Lillian Ratliff, Chase Dowling, Baosen Zhang, "Data Driven Spatio-Temporal Modeling of Parking Demand." In the proceedings of 2018 Annual American Control Conference (ACC), 2018.

Mitigation of Coincident Peak Charges via Approximate Dynamic Programming

Chase Dowling, Baosen Zhang, Mitigation of Coincident Peak Charges via Approximate Dynamic Programming. In the proceedings of 2019 IEEE 58th Conference on Decision and Control (CDC), 2019.

Modeling curbside parking as a network of finite capacity queues

Chase Dowling, Lillian Ratliff, Baosen Zhang, "Modeling curbside parking as a network of finite capacity queues." To appear in IEEE Transactions on Intelligent Transportation Systems, 2019.

Automated Adversary Emulation for Cyber-Physical Systems via Reinforcement Learning

Arnab Bhattacharya, Thiagarajan Ramachandran, Sandeep Banik, Chase Dowling, Shaunak Bopardikar, "Automated Adversary Emulation for Cyber-Physical Systems via Reinforcement Learning." In the proceedings of 2020 IEEE International Conference on Intelligence and Security Informatics (ISI), 2020.