Hi, I'm FEY!
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. Furthermore, during my time with QTurkey, I worked on several projects to educate people. Although I may not always achieve the desired results, through this website I have created, I will continue to strive to inform more individuals and further develop myself.
Research experience
Undergraduate Research Assistant
Simply Complex Lab - Ankara, Turkey
Nov 2021 - Present
The laboratory's research area centers on intricate, far-from-equilibrium phenomena. As an integral component of broader collaborative investigations, I contributed to the cross-correlation analysis of hyperuniformity dynamics within a colloidal system, employing principles from the domain of fluid dynamics. Presently, my research entails an examination of causal network analysis concerning the emergence of hyperuniformity within this system. I am actively engaged in the development of Python code to assess causality resulting from interparticle collisions.
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
Outreach Coordinator
QTurkey
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
QWorld
Jul 2021 - Aug 2021
The project is 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
Internship, Electrical Maintenance Technician
KANCA - Istanbul, Turkey
Summer 2016
Education
Middle East Technical University
Bachelor of Science in Physics
2018 - 2020
I have taken these for my concentration and extra courses:
CENG 501: Deep Learning
PHYS 409: Physics of Condensed Matter I
PHYS 312: Elementary of Solid State
PHYS 495: Group Theory in Physics
PHYS 444: Computational Physics II
BIOL 106: Biology
BIOL 317: Molecular Biology
Technical School ENKA Anatolian High School
Industrial Automation
2014 - 2018
Certifications
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. It showcases my readiness for data science roles and highlights my commitment to ongoing skill development.
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. Proficient in SQL querying, Tableau software, R programming, and creating job portfolios with case studies.
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.