Open to opportunities

Fatih SOĞUKPINAR

@fatihsoukpinar

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Ph.D. candidate specializing in systems science and neuroscience.

Turkey

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What I'm looking for

I am looking for opportunities that foster collaboration and innovation in neuroscience and data science.

I am currently a Ph.D. candidate in Systems Science & Mathematics at Washington University in St. Louis, focusing on cognitive, computational, and systems neuroscience. My academic journey has been marked by a strong commitment to research and innovation, particularly in the field of reinforcement learning and behavioral analysis.

Throughout my career, I have contributed to several significant publications in reputable journals, showcasing my ability to conduct impactful research. My experience as a Graduate Research Assistant at Washington University has allowed me to develop advanced models and pipelines for analyzing complex datasets, further solidifying my expertise in data science and signal processing.

In addition to my academic achievements, I have a diverse skill set that includes programming in Python, MATLAB, and JavaScript, as well as a solid foundation in mathematics and data science. I am passionate about applying my knowledge to real-world challenges and am eager to collaborate with like-minded professionals in the field.

Experience

Work history, roles, and key accomplishments

Current

Graduate Research Assistant

Current

Washington University School of Medicine

Sep 2018 - Present (6 years 8 months)

As a Graduate Research Assistant, I developed reinforcement learning models in MATLAB and Python to analyze behavioral data, created a web-based human experiment to study information-seeking behavior, and designed data registration pipelines for multi-electrode array recordings from macaques.

Matlab Python JavaScript HTML CSS Signal Processing Reinforcement Learning Data Analysis Optimization

Undergraduate Research Assistant

Bogazici University

Sep 2019 - Jan 2021 (1 year 4 months)

In my role as an Undergraduate Research Assistant, I built functional and structural connectomes using fMRI and MRI data, and evaluated connectome robustness through graph-theoretic metrics using MATLAB and Python.

FMRI Matlab Python Data Analysis Graph Theory Connectomics

Summer Intern

HAVELSAN

Aug 2017 - Sep 2017 (1 month)

During my internship at HAVELSAN, I developed a flight tracking prototype that integrated FlightRadar, ADSB-MODES, and AIS systems, enhancing the capabilities of air traffic monitoring.

Flight Tracking Prototyping Integration C C++