I am Ignacio Erazo, a fourth year Ph.D. candidate majoring in Operations Research and minoring in Machine Learning at the Georgia Institute of Technology. My research interests include the development of efficient optimization algorithms and heuristics for intelligent decision-making, but also large-scale simulation-optimization procedures. I am currently working under the supervision of Prof. Alejandro Toriello and Prof. David Goldsman.
Current Research Projects:
Submodular Dispatching Optimization.
Cost-Efficient Fixed-Width Confidence Intervals for the Difference of Two Bernoulli Proportions.
Optimal Frank-Wolfe algorithm for Stochastic Optimization.
News:
12/11/22: Our paper "A simulation-optimization framework to improve the organ transplantation offering system" was just selected as the best applied student paper at the Winter Simulation Conference 2022!
12/09/22: I just completed my internship at Amazon. It was an amazing experience, where I learned a lot and could recognize areas of growth. Looking forward to keep improving!
09/05/22: This Monday I just joined Amazon as an Applied Scientist Intern at Amazon, Edinburgh software development center!
08/19/22: Today I just finished my internship in Apple. It was such an amazing experience!
06/13/22: Our paper "A Simulation-Optimization Framework To Improve The Organ Transplantation Offering System" was accepted for publication and presentation on the Winter Simulation Conference 2022.
05/23/22: I joined BPR's Advanced Analytics team at Apple (Sunnyvale, CA) as an Operations Research Scientist Intern for Summer 2022.
04/01/22: I successfully defended my research proposal titled "Efficient Two-Sample Bernoulli Confidence Intervals and Submodular Dispatching". I am a Ph.D. Candidate now!