Mert Yuksekgonul is an undergraduate student at Bogazici University, studying Computer Science and Industrial Engineering as a double major. Currrently, he is a Visiting Researcher at MIT - Poggio Lab.
His main goal is building trustworthy deep learning systems. Namely, building algorithms and architectures that are explainable and making interpretable decisions; robust to changes in the environment, distribution shifts and adversarials; and quantifying uncertainty in these decisions.
Before MIT, he was a Research Collaborator at Harvard/Mathis Lab. Previously, he worked as a Research Intern at MPI/Bethge Lab and Mathis Lab in Summer 2019 on out of domain robustness, and as a Research Assistant at Bogazici University working with Dr. Mustafa Gokce Baydogan, working on multiple instance learning.
In the industry, he tackled various problems ranging from Recommendation Systems, Energy Forecasting, Vehicle Routing, Sports Analytics. Past internships include: Data Scientist at Algopoly, Supply Chain Optimization Analyst at Getir, ML Engineer at Armut, Data Analyst at QNB Finansbank.
Double Major: BSc in Computer Engineering and BSc in Industrial Engineering GPA:3.97/4.00, 2016 - Present