Tejovan Parker

PhD Student at Boston University Faculty of Computing and Data Science  

I am broadly motivated by complex human systems with implications for social good. I am interested in bridging the modeling/simulation and policy solution gap between:

Over the past year I have worked with Marhsall Van Alsytne on empiricaly validating information-economic solutions to the misinformation problem. Having previously studied at the Mortenson Center in Global Engineering, I hope to address problem that trouble the most disadvantaged globally.  My graduate application Statement of Purpose may give more description to my interests. 

I started at BU CDS in Fall 2022, with expected graduation Spring 2027. I have a BS and professional masters in Mechanical Engineering from CU Boulder.

This webpage is essentially a rich-format CV (unfortunattely some images/links are still broken from an account change).

Informal research guided by Dr. Joseph Hughes of Drexel Peace Engineering

Resulting articles are being published on EngineeringforChange.org

Photo: CIAT / Neil Palmer (CC BY-SA 2.0)

Helping to develop and apply the second iteration of the Market System Resilience Index as an intern at iDE

Helping Richard Bookstaber adapt some ABMs to his project on civilization rise and fall

Interesting coursework I performed as part of my graduate certificate in global engineering

Monitoring and Evaluation Proposal | Burden of Disease Modelling | Pakistan Development Report

Modelling the adoption and carbon sequestration of conservation agriculture with STELLA system dynamics software and monte-carlo simulation


Projects using Linear and Quadratic Programming to solve problems ranging from truss topology to handwritten character classification

Testing Distributed Accelerometer Sensing for Quadcopter Control: Vicon, Teensy microcontroller, review of some control literature

Implementing discrete-time control loops on a NI myRIO


Data Analysis & Linear Waves, 

Energy Systems & Sensitivity Analysis, 

System Identification, Statistical 

Process Control (6σ), and Lean


A line-following, fork-lifting, QR-reading, "sort-of" automated robot

Rapid prototyping of electro-mechanical systems, Raspberry Pi, and Arduino

Project Management 

 Learning from failure        Keeping a positive attitude         Clear expectations and specifications

Classic Mechanical Engineering

Fun!