Research Assistant (U. Waterloo Physics)
Modeling Cell selectivity on antimicrobial peptides (Supervisor: Dr.Bae-yeun Ha)
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.
Sep 2020 - Aug 2022
Teaching Assistant (U. Waterloo Physics)
PHYS 111L TA
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..
PHYS 255, PHYS 364 TA
Responsible for evaluating and grading examinations, assignments, and record grades for an undergraduate physics course. Returned feedback for assignment and examination.
Fall 2021 , Winter 2021 , Fall 2020, Winter 2022
Research Assistant (SFU Engineering)
Information Flow Through Deep Neural Networks (Supervisor: Dr.Ivan Bajic)
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.
May 2020 - Aug 2020
Research Assistant (SFU Physics)
Bayesian Inverse Ecology using Mutual Information (Supervisor: Dr. David Sivak)
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.
May 2018 - Apr 2020
Research Assistant (SFU Math)
Extinction of Variant Spellings (Supervisor: Dr. Paul Tupper)
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.
May 2019 - Aug 2019