My teaching spans the disciplinary breadth of Biochemistry (BIOSC 1000) and dives deep into the core methods and research skills of Computational Biology.
This sequence, which moves from foundational concepts (BIOSC 1540) to immersive, project-based research (BIOSC 1640) and literature-driven seminars (BIOSC 1630), is designed to equip computational biology students to move beyond simple data consumption.
My students are trained to develop robust computational tools, master complex problem-solving, and effectively communicate novel scientific findings through writing and presentation.
Serving as a Teaching Assistant (TA) or Undergraduate Teaching Assistant (UTA) is one of the most impactful ways to elevate your own scientific and professional skill set.
This role goes beyond simply reviewing material; it’s an opportunity to solidify your mastery of complex topics in Computational Biology and Biochemistry, sharpen your communication and leadership abilities, and actively mentor your peers.
As a Assistant Teaching Professor at an R1 institution, I regularly receive requests from students for letters of recommendation.
A well-written letter can significantly enhance your application by offering context, credibility, and insight that no transcript or resume can convey.
This page outlines how recommendation letters function, how to request one from me, and what you can do to ensure your letters work for you, not against you.