Experience, Education, and Awards

Academic Appointments

• Assistant Professor (Tenure-Track), Texas A&M University — July 2023–Present
  Department of Industrial and Systems Engineering, College Station, TX
• Assistant Professor (Tenure-Track), Texas Tech University — August 2019–June 2023
  Department of Industrial, Manufacturing, and Systems Engineering, Lubbock, TX

Education

• Ph.D. in Mathematical Sciences, Carnegie Mellon University, 2019
  Dissertation: First-Order Methods in Convex Optimization: Acceleration, Conditioning, & Rescaling
• M.S. in Mathematics, Tulane University, 2010
• B.S.B.A. in Finance & Accounting, Georgetown University, 2008

Honors & Awards

• 2026 — Montague-CTE Scholars Award, Texas A&M University, Center for Teaching Excellence
• 2025 — Outstanding Teaching Award, Texas A&M University, Department of Industrial and Systems Engineering
• 2023 — NSF CAREER Award
• 2022 — INFORMS Optimization Society Young Researcher Prize, joint with Nam Ho-Nguyen

Professional Service

University & Departmental Service

• 2023–2025: Organizer, Introduction to Mathematical Proofs for Engineering Ph.D.s, Texas A&M University.
• 2023–2025: Member, ISEN Faculty Search Committee, Texas A&M University.
• 2021–2023: Member, IMSE Faculty Search Committee, Texas Tech University.
• 2021–2023: Member, IMSE Graduate Recruiting Committee, Texas Tech University.
• Summers 2021 & 2022: Organizer, Mathematical Reading & Writing Bootcamp for Engineering Ph.D.s, Texas Tech University.
• 2021–2022: Academic advisor to nearly 30 undergraduate students at Texas Tech University, including career counseling and course selection.

Conference Session Leadership

Session chair for:

• 2025: First-Order Methods for Riemannian Optimization, International Conference on Continuous Optimization, Los Angeles, CA.
• 2024: Optimization on Manifolds, International Symposium on Mathematical Programming, Montréal, QC, Canada.
• 2023: Large-Scale Structured Optimization, INFORMS Annual Meeting, Phoenix, AZ.
• 2022: Block Decomposable and Coordinate Descent Methods, INFORMS Annual Meeting, Indianapolis, IN.
• 2021: Optimization on Manifolds, INFORMS Annual Meeting, Online.

Journal Reviewing

Referee for SIAM Journal on Optimization; Mathematical Programming; SIAM Journal on Matrix Analysis and Applications; Journal of Optimization Theory and Applications; Journal of Global Optimization; Operations Research Letters; Optimization Letters; Statistics & Probability Letters; and ESAIM: Control, Optimisation and Calculus of Variations.

Industry & Government Experience

• Research Intern, Bosch Center for Artificial Intelligence — May–August 2019
  Pittsburgh, PA. Research on adversarial training of machine learning models.
• Senior Consultant, IBM Global Business Services — May 2013–August 2014
  Advanced Analytics & Optimization, Washington, DC.
• Senior / Staff II, Kearney & Co. — November 2010–May 2013
  Arlington, VA.
• Research Intern, Naval Surface Warfare Center — Summers 2009 & 2010
  Dahlgren, VA.