Teaching & Mentoring

Teaching Snapshot

Teaching interests: electronic-structure theory (DFT → GW/BSE), computational chemistry, scientific programming for materials scientists, and reproducible HPC workflows.
Mentoring focus: inclusive, project-based research experiences that pair modern software practices with rigorous physical insight.
Formats delivered: graduate mini-courses, bootcamps, invited tutorials, and K–12 outreach workshops.

Chemistry Meets Computers (Wayne State University, 2021–2023) — Designed and taught a three-week intensive introducing Python, NumPy, and ASE for chemistry majors; mentored >40 students who carried projects into research groups.
Graduate lab mentor (2019–2024) — Supervised undergraduate and master’s researchers on GW/BSE workflows, resulting in co-authored publications and conference posters.
Argonne postdoctoral mentoring (2024–present) — Onboard new users to NST Division computing stack; run weekly code clinics on automation and data management.

NOBCChE Detroit STEM outreach (2021–2023) — Led hands-on demonstrations for K–12 classrooms, emphasizing computational chemistry careers for underrepresented students.
STEM camp facilitator (2019–2023) — Developed project modules linking quantum dots, coding, and sustainability for summer programs.
Science communication — Author of “Reflections of a young academic”, a blog translating computational materials research for broad audiences.

NOBCChE National Conference Planning Committee (2022–present) — design technical programming and mentoring sessions.
Social Media Coordinator & Secretary, NOBCChE @ Wayne State (2021–2023) — organized events and communication channels supporting graduate student development.

Interested in classroom collaborations, guest lectures, or workshop development? Email me and we can design a session tailored to your audience.