Hi, I'm FEY!
Interdisciplinary Researcher & Quantum Computing Enthusiast
About me
Hello, I am an interdisciplinary researcher who is passionate about exploring various fields, conducting research in these areas, and endeavoring to transform my studies into projects. In addition to my areas of interest, I am also a computational physicist.
The specific areas I am specializing in primarily involve the mathematical and theoretical aspects of deep learning and quantum computing, as well as their applications to various other fields.
Due to my passion for research, I have been involved in numerous research groups during my undergraduate studies to enhance my skills. Additionally, to reach out to a broader audience, I co-founded a community at my university with my friends and organized various events, including a hackathon.
Research Experience
Exploring the frontiers of physics, quantum computing, and machine learning
Undergraduate Research Assistant
Simply Complex Lab - Ankara, Turkey
Nov 2021 - Jun 2023
The laboratory's research area centers on intricate, far-from-equilibrium phenomena. I was actively helped on the development of Python code to assess causality resulting from interparticle collisions . Supervisor: Dr. Serim Ilday.
Supervisor: Dr. Serim İlday
Undergraduate Research Assistant
IVMER The Research and Application - Ankara, Turkey
Feb 2020 - Jun 2022
Contributed to Quantum Convolutional Neural Networks (QCNN) for image detection utilizing various quantum gate algorithms. Also, applied Quantum Machine Learning techniques to address the 'Travelling Salesman' problem within a research team.
Supervisor: Prof. M. Bilge Demirköz
Work Experience
Professional journey in quantum computing and technology
Quantum Software Engineer
Sep 2023 - Present
• Developed advanced logistics algorithms utilizing Quantum Computing to optimize cargo with neural networks and helped on routing algorithms. Built and designed website using React for microservice powered by FastAPI.
• Collaborated with investors and partner companies to assist the CEO in fundraising and business development activities.
Outreach Coordinator
Sep 2021 - Jan 2023
• The aim of the QTurkey (Quantum Turkey) community is to spread quantum technologies and raise awareness through events held in Turkey.
• As the Outreach Team, our aim is to ensure the growth of the QTurkey community, establish domestic and international collaborations, and to keep the QTurkey family active by organizing new events.
Internship, Coordinator
Jul 2021 - Aug 2021
• The project included the website and classification of all courses and related stuffs.
The website is: qmap.qworld.net
Supervisor: Zeki Can Seskir
Internship, Industrial Automation
ALTINAY Technology Group - Istanbul, Turkey
Summer 2017 - Summer 2017
Education
Academic foundation in physics and computational sciences
Bachelor of Science in Physics
Middle East Technical University
2018 - 2025
Concentration and extra courses:
Technical School - Industrial Automation
ENKA Anatolian High School
2014 - 2018
Certifications
Professional development in data science, machine learning, and quantum computing
IBM Data Science Professional Certificate
IBM - Coursera
I completed the IBM Data Science Professional Certificate, a rigorous program covering data science fundamentals, machine learning, and practical project work. This certificate demonstrates my proficiency in data analysis, Python programming, and the use of industry-standard tools and libraries.
Capstone Project: SpaceX Launch Success Analysis
Google Data Analytics Professional Certificate
Google - Coursera
I acquired key skills in data cleaning, analysis, and visualization using spreadsheets, SQL, R programming, and Tableau. I learned to organize and analyze data, create visualizations, and present findings effectively. Developed expertise in spreadsheet usage, data ethics, problem-solving, and decision-making.
Deep Learning
Neuromatch Academy
August 2021
Completed Neuromatch's Deep Learning course, focusing on advanced neural network architectures and applications. Learned to design, train, and implement deep learning models for tasks such as image recognition and natural language processing, utilizing frameworks like TensorFlow and PyTorch.
Computational Neuroscience
Neuromatch Academy
August 2021
Completed the Neuromatch Computational Neuroscience course, focusing on computational techniques for understanding brain function. Gained skills in neural data analysis, modeling of neural systems, and applying machine learning to neuroscience research.
Qiskit Summer School Quantum Machine Learning
IBM Qiskit
August 2021
Completed IBM's Qiskit Quantum Machine Learning course, learning to apply quantum computing in machine learning. Gained skills in quantum algorithm implementation and optimization using Qiskit.