Research Team

Gabriel completed his MS in Business Economics at Fundação Getulio Vargas and his BSCE at Pontifical Catholic University of Rio de Janeiro, Brazil. Previous to GT, he worked for four years as a Supply Chain Consultant for Accenture and Ernst & Young. His current research focus on airline revenue management vis-à-vis the new parameters and capabilities of the industry. When not at GT, you can find Gabriel binging tv shows, exploring the outdoors or reading about logistics and transportation.

Jing completed her BS in Transportation Engineering at Tongji University in China. Jing’s academic interest lies in research around travel behavior and travel mode choice. In extracurricular time, Jing enjoys cooking and exploring new recipes. Recently she also fell love in with skiing.

Caroline is joining us in fall of 2024! Stay tuned for an update

Antonio is joining us in fall of 2024! Stay tuned for an update

Tulio completed his Bachelor’s in Civil Engineering at the University of Texas at Austin. Tulio was very active at UT through his leadership in ASCE and UT Senate, being peer tutor for Properties and Behaviors of Materials, and conducted undergraduate research. In his research, Tulio used statistical modeling and machine learning to analyze large data sets. Apart from engineering, Tulio loves to travel, enjoys the outdoors, and getting to meet new people.

Maitreyee Talnikar, a Civil Engineering graduate from BITS Pilani in India, is currently pursuing her MS in Computational Science and Engineering at Georgia Tech, specializing in Transportation Engineering. Fascinated by the latest machine learning and data science techniques, she is dedicated to enhancing transportation systems through innovative approaches. Through her research at ATL@GT, she aims to explore the applications of these techniques in the realm of airline revenue management. Beyond academics, Maitreyee enjoys playing the piano, loves reading philosophy, and expresses her creativity through painting.

Jeff works part-time as a research engineer in Dr. Garrow’s research group. Jeff is the developer of LARCH, a freeware program that can estimate multinomial, nested, and cross-nested logit models with semi-aggregate data.