Developed new curricula and revised existing curricula.Taught Web Development Fundamentals and 2 classes of Computer Programming and Linear Data StructuresMethodically planned and executed complex and engaging lesson plans, including inventing exercises, writing analogies, making diagrams, practicing explaining complex topics, and gathering necessary materials.Used a wide variety of techniques to meet the needs of a diverse range of studentsBuilt relationships with up to 100 students and ensured all students felt attended to with personalized feedback, 1-on-1 meetings, class discussions and personal encouragementDesigned and implemented performance improvement “contracts” with underperforming students leading to higher engagement, fewer dropouts, and higher grades.Created scripts and test cases for GitHub Classroom’s autograder in Java, Python and BashDesigned and implemented a project teammate selection system with a computer science education expert based on students’ declared norms and goals, resulting in self-reported improved cohesion and learning outcomes.Implemented quizzes, anonymous surveys, and real-time feedback to assess comprehension and confidence.

Lectured on main course content to prepare students for lab.Developed new lab material and revised existing lab material.Created bash scripts to streamline grading.Taught 30+ lab sections over 8 courses.

Developed a novel I/O aggregation technique to scale closed-source C/C++ binaries, common in bioinformatics workflows, resulting in up to a 1.75x gain in I/O performance. Presented findings at COMPSAC ‘21.Wrote a white paper presenting a proof-of-concept for a Python workflow (SnakeMake) to optimize an enzyme for a particular substrate, describing existing software that can be used to create a complete novel workflow.Wrote a white paper on AlphaFold2’s strengths, limitations and current and predicted applications.Developed an I/O analysis tool to identify solutions to bottlenecks in closed-source bioinformatics software.Developed a generalized and extendable framework for resolving performance bottlenecks in supercomputing applications. This tool profiled, analyzed, and visualized hardware performance metrics to expose poor resource utilization, resulting in significant improvements to several Exascale Computing Project applications. Presented findings at The International Conference on High Performance Computing, Networking, Storage and Analysis.Developed a framework for automatic source code annotation using Caliper to verify the hardware performance characteristics of proxy applications. Presented findings at Western CEDAR Scholar’s Week.

Awarded a fellowship at Lawrence Berkeley National Laboratory to develop a generalized and extendable framework for resolving performance bottlenecks in supercomputing applications. This tool analyzed and visualized hardware performance metrics to indicate poor resource utilization, resulting in significant improvements to Exascale Computing Project applications. Presented findings at ProTools SC’19.