About Me

I am a machine learning and signal processing expert who codes and does math on a daily basis. I specialize in developing machine learning algorithms and specifically deep learning, computer vision, and time series analysis problems. I have experience in a diverse set of biomedical data analysis. My (not current) CV can be found [here].

I am a Senior Sensor Algorithm Engineer at WHOOP, Inc. since 2025 where I contribute by designing algorithms for WHOOP strap. Before my current role, I was a Machine Learning Scientist @ Boston Children’s Hospital where I worked on inverse imaging problems and time-series analysis on medical imaging.

I have completed my PhD in Electrical and Computer Engineering in 2024 in University of Pittsburgh where I was a member of Signal Processing and Statistical Learning Lab under Murat Akcakaya. My research projects’ main aim were to build and provide an accessible spatial neglect detection and rehabilitation systems for stroke patients with neglect. I contributed to a deep learning and AI-driven augmented-reality supported brain-computer interface. I worked on various machine learning modalities, ranging from more traditional ones like logistic regression to more complex ones like neural networks (spiking neural networks, transformers etc.). My theoretical contributions were on Bayesian inference and sequential decision making.

I received my BSc in Electronics and Communications Engineering from Istanbul Technical University under Prof. Ender M. Eksioglu in 2019. I mainly focused on inverse imaging problems, more specifically MRI reconstruction and super-resolution problems.