Lead software development for new simulation and AI tools, invent technically differentiated methods, and drive technical pre-sales discussions focused of drug discovery, development, and diagnostics.

For physics and chemistry discussion classes I solve problems or answer questions to students in sections that have covered topics from Newtonian physics, general and organic chemistry, statistical mechanics and thermodynamics. For chemistry lab classes, I guide students through organic chemistry experiments with a focus on chemical safety. For physics labs I taught students, in addition to the physics of the lab, how to perform complex analysis or use custom macros in Excel. Since I have taught in person through most of 2020 and 2021 I am also responsible for ensuring proper safety practices are maintained according to CDC guidelines. For all classes I hold office hours and keep an organized file of student work, with backups, through the semester. I have received very positive reviews from students about my ability to teach the material clearly. Department of PhysicsCourses taught:2020 Spring – General Physics: Mechanics and Particle Dynamics2020 Spring – Vibrations, Waves, Heat, Electricity & Magnetism: LaboratoryDepartment of Chemistry and Biochemistry, Courses taught:2021 Spring – CHEM481 Physical Chemistry I2021 Spring – Organic Chemistry I Laboratory2020 Fall – General Chemistry for Engineers, Discussion2020 Fall – General Chemistry I for Majors, Discussion

Graded and taught two lab sections for analytical chemistry focused on organic chemistry. I also wrote final exam questions and key for ~650 students for the class.

Taught and graded two lab classes in organic chemistry

Through the UMD-NCI Parternship for Integrative Cancer Research, I was an awarded a competitive fellowship to work at the NCI/NIH during my graduate degree. As the resident computational theorist in the Dalal lab, I worked on an interdisciplinary team at the NCI to develop new quantitative insight on chromatin physics in cancer. - Derived and implemented a new computational method to calculate the Young’s modulus of nucleosomes from equilibrium simulations. My model quantitatively agrees with in vitro Atomic Force Microscopy nanoindentation.- Performed first analysis of the material properties of oncogenic hybrid nucleosomes.- Discovered through all-atom computational modeling of nucleosomes that specific histone core acetylations disrupt kinetochore seeding in mitosis, proven in vivo.-Provide biophysical, mathematical, and computational skills to an interdisciplinary team of cell biologists, biochemists, and experimental biophysicists. Then, work as a team member to address research problems and give scientific feedback to interdisciplinary colleagues.This work was done in collaboration with my research position at the University of Maryland.