CV

Curriculum vitae. The PDF is compiled from `assets/cv-tex/main.tex`; the structured rendering below is generated from `_data/cv.yml`.

Contact Information

Name Mehmet Yigit Turali
Professional Title M.S./Ph.D. Student, UCLA Electrical and Computer Engineering
Email myigitturali@ucla.edu
Location Engineering IV Building, Los Angeles, California 90095

Professional Summary

PhD student at UCLA ECE, advised by Prof. Vwani P. Roychowdhury. Research interests: large language models, structured memory, continual learning, NLP for genomics, ML for health, time-series forecasting, and computational neuroscience.

Experience

  • 2024 - present

    Los Angeles, CA

    Graduate Student Researcher
    UCLA Electrical and Computer Engineering
    Lead and co-lead research projects on (i) PANINI / Generative Semantic Workspaces — non-parametric continual learning via structured memory (ICML 2026); (ii) NLP/LLM-based one-shot detection of structural variants in genomic data; (iii) brain-organoid reservoir computing for chaotic time-series forecasting; and (iv) GlobalHealthLLM — LLM-driven medical-record standardization for pediatric epilepsy in rural Ugandan clinics.
  • 2026 - 2026

    Los Angeles, CA

    Academic Mentor — OpenAI Project Team
    OpenAI × IPAM RIPS, UCLA
    Selected as the Academic Mentor for the OpenAI team at the IPAM Research in Industrial Projects for Students (RIPS) program, partnering with OpenAI’s scientific mentor to advise a team of top undergraduates on an OpenAI-sponsored applied research problem over the summer.
  • 2024 - 2024

    Ankara, Turkey

    Machine Learning Researcher
    DataBoss Inc.
    Built AI-powered chatbots and agent assistants on Langchain. Developed RAG variants and agent architectures, including a self-multi-RAG built on top of self-RAG. Supervised by Prof. S. Serdar Kozat.
  • 2022 - 2024

    Ankara, Turkey

    Machine Learning Researcher
    DataBoss Inc.
    Time-series analysis and forecasting with statistical and ML algorithms for renewable-energy and finance sectors. Developed a gradient-boosting variant integrating error terms as features for renewable-energy forecasting. Supervised by Prof. S. Serdar Kozat.
  • 2022 - 2022

    Istanbul, Turkey

    Embedded Software Research Intern
    BAYKAR Inc.
    Worked on autonomous-locating UAVs for BAYKAR and the Turkish Armed Forces. Developed an embedded-software pipeline to reduce the need for human control.
  • 2021 - 2022

    Ankara, Turkey

    Computer Vision Researcher
    National Magnetic Resonance Research Center (UMRAM)
    Diagnosing diseases from X-ray images with deep learning. Worked with Prof. Tolga Çukur on (i) sacroiliitis prediction from sacroiliac-joint radiography (JointNET) and (ii) HydraViT — adaptive multi-branch transformer for multi-label chest X-ray classification.

Education

  • 2024 - present

    Los Angeles, CA

    M.S./Ph.D.
    University of California, Los Angeles (UCLA)
    Electrical and Computer Engineering
    • Advisor: Prof. Vwani P. Roychowdhury.
    • Research: structured memory for LLMs, NLP for genomics, brain-organoid computing, LLMs for global health.
  • 2019 - 2024

    Ankara, Turkey

    B.S.
    Bilkent University
    Electrical and Electronics Engineering
    • Advisor: Prof. S. Serdar Kozat.
    • Research: feature selection, gradient boosting, sequential regression, computer vision for medical imaging.

Teaching

  • 2026 - 2026

    Los Angeles, CA

    Teaching Assistant — M146, Introduction to Machine Learning
    UCLA Electrical and Computer Engineering
  • 2026 - 2026

    Los Angeles, CA

    Teaching Assistant — ECE C147, Neural Networks and Deep Learning
    UCLA Electrical and Computer Engineering
  • 2025 - 2025

    Los Angeles, CA

    Teaching Assistant — ECE C143, Neural Signal Processing
    UCLA Electrical and Computer Engineering
  • 2025 - 2025

    Los Angeles, CA

    Teaching Assistant — ECE 131A, Probability and Statistics
    UCLA Electrical and Computer Engineering
  • 2021 - 2022

    Ankara, Turkey

    Undergraduate Teaching Assistant — CS 115 (Intro to Programming in Python), EEE 102 (Intro to Digital Circuit Design)
    Bilkent University

Awards

  • 2024
    Bilkent University Research Excellence Award
    Bilkent University

    For publications in distinguished journals throughout undergraduate study.

  • 2024
    Bilkent University Responsible Artificial Intelligence Innovation Award
    MathWorks / FIGES / Tubitak Sage

    Selected by a jury of MathWorks, FIGES, and Tubitak Sage representatives in the 2024 Responsible AI Competition.

  • 2023
    4th Place — Royal Dutch Shell Cashflow Forecasting Datathon
    Royal Dutch Shell

    Placed 4th out of 1000+ participants.

  • 2024
    Bilkent University High Honour Certificates
    Bilkent University

    Awarded for maintaining a CGPA of 3.50+ each semester (2020–2024).

  • 2024
    Bilkent University Comprehensive Undergraduate Scholarship
    Bilkent University

    Full tuition waiver, monthly stipend, and accommodation support during B.S. (2019–2024).

  • 2024
    General Directorate of Higher Education Credit and Hostels Institution — Top 100 Scholarship
    KYK (Türkiye)

    Monthly stipend and accommodation support during B.S. (2019–2024).

  • 2019
    71st Place — National University Entrance Exam (Türkiye)
    ÖSYM (Measuring, Selection and Placement Center of Türkiye)

    Placed 71st among 2.5M+ students.

  • 2019
    1st Place — Atilim University 7th High School Physics Competition
    Atilim University

    Placed 1st among 100 student groups.

Skills

Programming Languages (Advanced): Python, MATLAB, Verilog HDL
Machine Learning (Advanced): Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, Plotly
Deep Learning (Advanced): PyTorch, TensorFlow, Keras, Transformers, Hugging Face, vLLM
Vector Databases & Retrieval (Advanced): Pinecone, FAISS, Langchain
Neuroscience Analysis (Intermediate): Elephant, Kilosort, SpikeInterface
Tooling (Advanced): Git, Docker, LaTeX

Languages

Turkish : Native speaker
English : Fluent

Interests

Research: LLMs, structured memory, continual learning, NLP, ML for health, time-series forecasting, computational neuroscience, computational biology