About Me

I am a third-year undergraduate student pursuing a double major in Computer Engineering and Mathematics. My core academic motivation lies at the intersection of computational neuroscience, high-dimensional neural network dynamics, and biological simulations. I focus on learning mathematical frameworks to understand complex brain functions and algorithmic structures.

Research & Academic Projects

Predictive Pursuit in High-Dimensional RNNs

Research Project

Investigating emerging predictive pursuit strategies and low-rank structures in high-dimensional Recurrent Neural Networks (RNNs).

Protein Language Modeling (ERC-Funded)

Research Experience

Contributing as a research assistant in an ERC-funded project focused on decoding and understanding protein languages using sequence-based models.

Music Recommender System

Probability & Statistics Project

A probabilistic and algorithmic music recommendation system designed to analyze user preferences and generate personalized recommendations. Developed Bayesian reasoning, probability-based decision making, feature analysis, and similarity metrics over black-box approaches.

Spatial-Trait-PD

Open Source / Simulation

An algorithmic framework analyzing spatial traits and evolutionary game theory dynamics (Prisoner's Dilemma). Focuses on high-dimensional interactions, network structures, and agent-based mathematical modeling.

Job Matching Engine

Software Architecture

A modular data processing and matching engine designed to parse complex attributes and execute optimal matching logic based on core computer science algorithms and structured data representations.

Experience

University of California, Santa Barbara (UCSB)

Computational Neuroscience Summer Research Intern

Conducted research on recurrent neural network (RNN) dynamics, predictive pursuit strategies, and high-dimensional neural representations. Collaborated on mathematical derivations, code reproductions, and target unit tuning analysis.

Focus Areas: Recurrent Neural Networks, low-rank dynamics, predictive pursuit, egocentric target units (ETUs), and neural population codes.

Google Artificial Intelligence Academy

Participant / Project-Based Program

Participated in an intensive AI-focused program with hands-on projects and technical training. Strengthened the ability to deliver concrete technical outcomes within a structured learning framework.

Focus Areas: Applied machine learning concepts, model evaluation/analysis, translating theoretical knowledge into working implementations, and collaborative project management frameworks.

Student Assistant

Computer Science Department - Discrete Mathematics

Supported academic and technical activities for the Discrete Mathematics course. Assisted undergraduate students with algorithmic problem-solving, conceptual clarity, and programming questions.

Responsibilities: Developing course materials, giving and evaluating homeworks/exams, and reinforcing fundamental computer science paradigms.

Creative Practices

Ceramic Arts & Photography

Interests

Alongside my academic studies, I actively engage in ceramic sculpturing and both analog and digital photography. I treat these creative mediums as disciplined practices that I professionally integrate into my daily life and personal growth.

Ceramic Portfolio: @damla.demirokk

Skills & Competencies

Theoretical

Computational Neuroscience, Optimization Theory, Group Theory, High-Dimensional Dynamics, Probability & Bayesian Statistics

Technical / Dev

Python (PyTorch, NumPy), C Language, Unix/Linux Systems, Git, LaTeX