I am an undergraduate student at Bogazici University, studying Computer Science and Industrial Engineering as a double major. In Fall 2021, I will start my PhD in Computer Science at Stanford University.
My ultimate research goal is enabling greater use of machine learning in human-critical applications, particularly healthcare. While there are many diverse problems to tackle, I am broadly interested in building models that are robust to distribution shifts and various adversaries, that can be deployed in data-lacking regimes, and that offer explanations to their decisions.
Most recently, I was a Visiting Researcher at MIT - Poggio Lab and Sinha Lab where I worked with Dr. Xavier Boix and Prof. Pawan Sinha. Before MIT, I was a Research Collaborator at Harvard/Mathis Lab working with Prof. Mackenzie Mathis and Prof. Alexander Mathis. Previously, I worked as a Research Intern at MPI/Bethge Lab and Mathis Lab in Summer 2019 on out of domain robustness in pose estimation, supervised by Prof. Matthias Bethge. In Fall 2019, I was a research Assistant at Bogazici University working with Prof. Mustafa Gokce Baydogan, working on interpretability and multiple instance learning.
In the industry, I 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