Resume
Experience
2024 - Present
*Neuro-Data Scientist(Remote, Freelancer)
VCENNA INC.
Vancouver / Canada
With his expertise in EEG studies focused on the neurophysiological effects of Neuro-Pharmaceuticals, Alparslan is responsible for analyzing and reporting electrophysiological data collected during these studies. For quick and straightforward analyses, he uses EEGLAB in MATLAB, while for more complex data processing tasks, he prefers Python with a range of advanced libraries.
QEEG, Statistics, Data Analysis, Python, Matlab, Food & Brain
2022 - Present
*Neuroscience Researcher & Electrophysiological Signal Analysis Laboratory Coordinator
SANKARA Brain & Biotechnology Research Center
Istanbul / Turkey
Alparslan has contributed to numerous significant studies, primarily focused on the neurophysiological effects of nutritional interventions. As a coordinator, he oversees the design and organization of electrophysiological data acquisition, manages data collection processes, and ensures proper data storage. In the center's multidisciplinary research, he applies his statistical expertise across various fields, ranging from EEG to microbiota analysis. He is also involved in analyzing electrophysiological data and contributing to the writing of papers published in peer-reviewed journals. Additionally, he continues his research on the application of EEG signals in machine learning within the Quantitative Neuroscience Laboratory.
QEEG, Statistics, Data Analysis, Python, Matlab, Machine Learning, Food & Brain
2021 - 2022
Biomedical Engineer
MEDIBIM Medical Informatics & Quality Assurance LTD.
Istanbul / Turkey
During his year at Medibim, Alparslan was responsible for designing and coordinating CE certification test procedures for medical consumables, as well as revising quality assurance protocols for diagnostic radiology devices. He also represented the company at medical expos and conducted quality assurance tests for various medical imaging modalities, ensuring compliance with standards and optimal device performance.
Quality Assurance, Medical Imaging, Electrophysiology
2019/ Summer
Biomedical Engineer(Intern)
ASELSAN INC.
Ankara / Turkey
During his internship at ASELSAN, Alparslan contributed to the electronic circuit design of an intensive care ventilator, which was later produced in response to the COVID-19 pandemic. His role focused on ensuring the functionality and reliability of the circuit design, supporting the development of this critical medical device during the global health crisis.
System Engineering, Medical Electronics
2018/ Summer
Clinical Engineer(Intern)
Katip Celebi University Atatürk Training & Research Hospital
Izmir / Turkey
Alparslan maintained and calibrated medical equipment, ensuring their optimal functionality and accuracy. His efforts contributed to the reliable operation of critical healthcare devices within the hospital setting.
Clinical Engineering
Education
2020 - 2023
M.Sc. in Biomedical Engineering
Institute of Biomedical Engineering
BoÄŸaziçi University / Istanbul
During his MSc in Biomedical Engineering, Alparslan pursued the "Biomedical Instrumentation" track, developing in-depth expertise in signal processing, system theory, statistics, and advanced research methodologies. With a specific focus on neuroscience, he worked on designing an algorithm in MATLAB for neural spike sorting as part of his Master’s thesis. This project involved advanced data analysis techniques, allowing him to process and interpret complex neurophysiological signals. Through this work, he refined his research skills in both algorithm development and signal processing, which aligns with his long-term goal of advancing neuroscience research and contributing to innovative solutions in neural signal analysis.
M.Sc. Thesis: An Unsupervised and Refractoriness-Supported Algorithm Design for Real-Time Spike Sorting
GPA: 3.62
2015 - 2020
B.Sc. in Biomedical Engineering
Institute of Biomedical Engineering
Katip Çelebi University / Izmir
Alparslan sought a meaningful career driven by passion and a desire to help humanity, leading him to Biomedical Engineering. Along with standard engineering courses, he focused on biomedical signals and systems, electronics, medical imaging, embedded systems, data analysis, programming, and probability and random processes. Inspired by his grandmother's needs, he developed an IoT-based system to help families remotely monitor medication use for individuals with neurodegenerative diseases. In his final year, he decided to focus his career on the intersection of biomedical engineering and neuroscience, setting the stage for his future research and contributions.
B.Sc. Graduation Project: IoT Supported Pill Dispenser for Patients with Dementia
GPA: 3.05
Skills & Expertise
Python
Machine Learning Applications
TensorFlow, Matplotlib, Pandas, Scikit-learn
Experienced in developing machine learning models for the unsupervised detection of EEG biomarkers, utilizing features extracted from various types of EEG data for comprehensive analysis.
Electrophysiological Data Processing
MNE, NeuroKit2, PyWavelets, PyEEG, NetworkX
Proficient in processing and analyzing EEG signals through a combination of advanced toolboxes and custom-developed functions, ensuring precise signal interpretation and robust feature extraction.
Statistics and Visualization
SciPy, NumPy
Proficient in applying statistical methods for analyzing EEG data, as well as other datasets, including microbiota studies, with a focus on extracting meaningful insights from complex data.
Statistics and Machine Learning Toolbox
MATLAB
EEG and Neural Spike Data Processing
EEGLAB, FieldTrip, Neural Spike Sorting Tools (Wave Clus, OSort, etc.)
In addition to his EEG processing and analysis expertise, he is proficient in using neural spike sorting tools, having developed a custom spike sorting algorithm in MATLAB as part of his Master’s thesis.
Statistics and Visualization
He utilizes MATLAB’s Statistics Toolbox for advanced statistical analysis in scientific studies, with a particular focus on EEG signal processing and related data analysis tasks.
SPSS
Data Statistics
In addition to his proficiency in Python and MATLAB’s Statistics Toolbox for advanced statistical analysis, he is also skilled in using SPSS for statistical analysis of smaller datasets.
Proteus
Circuit Design and Simulation
Alparslan has foundational experience with Proteus Design Suite, utilizing it for basic electronic circuit design and simulation. He is capable of creating simple schematics and running simulations to test circuit functionality.
SolidWorks
3D Modeling
With foundational experience in SolidWorks, he has used the software for basic 3D modeling and mechanical design tasks. He is capable of creating simple components and running basic simulations.
Adobe Illustrator
Figure and Poster Design
He uses Adobe Illustrator to design clear and professional figures for research papers, conference presentations, and posters.
Grants & Awards
2023 -
Present
Scientific Research Project Grant
Given by Nişantaşı University / Istanbul
Grant for Investigation of Autism Diagnostic Biomarkers in Children with Developmental Disorders project.
2020 Sep
Best Paper Award
Given at the 3rd International Conference on Medical Devices, Antalya, Turkey
Awarded for the paper: IoT-Supported Pill Dispenser for Patients with Dementia.
2020 Jan
TUBITAK 2209-A University Students Research Projects Support Program
Given by the Scientific and Technological Research Council of Türkiye, Ankara, Turkey
Grant for bachelor’s graduation project.