Alp Akova
Work Experience
Engineering Researcher - Subconscious AI
Aug 2023 - Dec 2023 | New York, USA
- Conducted discrete choice experiments using LLMs for decision-making processes
- Developed data dashboards with R Shiny and Weights & Biases
- Enhanced LLM interpretability through psychological analysis
Education
PhD Candidate in Cognitive Brain Sciences
Sep 2024 - Present | University of Trento
- Research focus: EEG-based biomarkers in cognitive aging
- Machine learning applications in neuroscience
Master of Science in Developmental and Educational Psychology
Sep 2021 - July 2024 | University of Padova
- Specialized in developmental psychology and educational methods
- Extensive research focus with proficiency in statistical analysis methods
- In-depth understanding of cognitive, emotional, and social development
- Expertise in applying developmental principles to educational practices
- Strong background in conducting rigorous scientific investigations
Bachelor of Arts in Psychology
Sep 2016 - Aug 2020 | Sabanci University
- Specialized in decision-making processes, consumer behavior, and organizational psychology
- Developed understanding of psychological theories and research methods
- Conducted research to investigate psychological phenomena
- Applied psychological principles to real-world scenarios
- Graduated with expertise in critical thinking and data analysis
Language Skills
| Language | Listening | Reading | Speaking | Writing |
|---|---|---|---|---|
| Italian | B1 | B1 | A2 | A2 |
| Turkish (native) | — | — | — | — |
| English (native) | — | — | — | — |
B1: Can understand main points and handle basic professional interactions
A2: Can communicate in simple tasks and routine conversations
Currently pursuing additional coursework to strengthen Italian language skills, particularly in writing and speaking.
Technical Skills
Neuroscience
- EEG Analysis Frequency & time-domain processing, artifact removal
- Brain Age Prediction ML models using PyTorch for regression tasks
- Signal Processing ICA, filtering, wavelet transforms
Machine Learning
- Python (PyTorch) Advanced: Custom neural architectures, real-time inference
- Natural Language Processing Transformer-based models (BERT, GPT) for classification
- Large Language Models Fine-tuning and prompt engineering in scientific domains