| University of Michigan |
|
| Massachusetts Institute of Technology |
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| Metis |
San Francisco
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| Data Science Fellow |
Jan. 2019 to Current
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Developed 5 data projects as part of a 3-month immersive program.
| University of Michigan |
Ann Arbor
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| Graduate Student Researcher |
June 2012 to May 2018
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- Developed fluid simulations and optimization models in Python, and performed numerous other computational and analytical studies for the optimization of fluid mixing.
- Used a collection of optimal control methods to discover that diffusion can limit the mixing effectiveness of incompressible flows in some cases.
| On-Ramp Wireless: Communications Physical Layer |
San Diego, CA
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| Systems Engineering Intern |
Summer 2011 to Fall 2011
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- Used Python to investigate signal processing data to determine the presence of signal interference between ORW's wireless network and WiFi networks.
- Developed a decision tree classifier to help avoid signal interference.
| Continental Tires R&D: Pattern, Contour, and Layout |
Hanover, Germany
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| Mechanical Engineering Intern |
Fall 2010 to Winter 2011
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- Used MATLAB to develop simulations of the likelihood of tire wear and damage.
- Contributed to early concept-phase development of tire tread pattern designs for upcoming products.
| Converting Python to C++ code using LSTMs |
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Used an LSTM sequence-to-sequence architecture to convert Python code to C++ code.
| Detecting respiratory symptoms in breathing audio recordings |
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Used a classic KNNs for the detection of respiratory symptoms such as wheezing and crackling in the recordings of breathing.
| Time-series analysis for stock prediction |
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Explored classical statistical models such as ARIMA for time series analysis to predict long-term (months) and short-term (1-day) price movements. A simple autoregressive model motivated by physical spring (harmonic oscillator) dynamics is explored.
| Deep Q-Network training of a food-seeking reinforcement learning agent |
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Implemented a Deep Q-Network algorithm to train an agent that seeks food and avoids poison in Unity's 3D virtual environment.
| Repository of multi-agent reinforcement learning environments |
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Created an open source python package with multi-agent reinforcement
learning environments. The package includes classic 2-player matrix
games and multi-player Snake environment.