Suemin Lee

University of Maryland

University of Waterloo

Research Assistant (U. Waterloo Physics)

Computational theoretical soft matter research. Theoretical modeling on cell selectivity of antimicrobial peptides (AMPs). Constructing a model that could potentially lead to clinically accessible substances, by improving the therapeutic index for AMPs. The results are shown through numerical optimizations and computation works.

Teaching Assistant (U. Waterloo Physics)

Teach first-year physics undergraduate students during the lab session. Responsible for teaching lab sessions, evaluating, grading the lab reports, and providing feedback to students..

Responsible for evaluating and grading examinations, assignments, and record grades for an undergraduate physics course. Returned feedback for assignment and examination.

Research Assistant (SFU Engineering)

Machine learning (deep neural network) research. The concept of information bottleneck and mutual information estimators was utilized to measure the mutual information between various layers in a deep neural network. Together with information-theoretic inequalities, understood how data flows through a deep neural network.

Research Assistant (SFU Physics)

Computational theoretical biophysics research. Mutual information inference methods was used to understand the reverse evolutionary environment and to determine the optimal distribution of the environment. Numerical simulations were performed to infer reverse ecology in the system.

Research Assistant (SFU Math)

Computational linguistics research. Google Ngram was used to collect data on variant spelling extinction. Simulations were performed on the collected data, and curve fitted to the model to understand the behavior on the extinction of the English spelling. Through analysis, an optimized model for variant English spelling was determined.