Caner Polat is currently an IT Consultant at ipt Innovation Process Technology, where they utilize their expertise in technology and data analysis. They previously served as a Master Thesis Student at IBM, developing a physics-informed neural network framework for solving the time-dependent Schrödinger equation, achieving a thesis grade of 5.75 out of 6. Caner graduated with a Bachelor of Science in Physics from ETH Zürich in 2019 and is pursuing a Master of Science in Physics at the same institution, expected to complete in 2023. Earlier in their career, they gained experience as a Data Analyst Intern at Getir, where they implemented various predictive analyses and algorithms.
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