プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Petro T.に依頼

Ukraine

Medical Doctor | PhD Researcher | Machine Learning & Data Science for Healthcare

プロフィール概要

I am a medical doctor and PhD researcher specializing in the application of machine learning and data science in medicine. I have hands-on experience developing predictive models, analyzing clinical datasets, and applying neural networks to healthcare problems. I am proficient in Python (scikit-learn, PyTorch, pandas) and R (tidyverse, caret, workflows), with a strong background in biostatistics and data visualization. My research has resulted in several peer-reviewed scientific publications where I applied ML to patient data in cardiology and neurology. I help researchers, clinicians, and startups with: • Designing and training machine learning models for medical datasets • Statistical analysis of clinical trials and health surveys • Data preprocessing, cleaning, and visualization • Writing and editing methods and results sections for publications My unique advantage is that I understand both clinical practice and advanced data science, bridging the gap between medicine and AI.

専門分野

• ★ Biostatistics
• ★ Machine Learning
• ★ Cardiovascular Disease
• ☆ Neuroscience
• ☆ Electrophysiology
• ☆ Patch-Clamp Electrophysiology
• ☆ Neurophysiology
• ☆ Data Visualization
• ☆ Sports Science
• ☆ Exercise Physiology
• ☆ Python
• ☆ SPSS
• ☆ Matlab
• ☆ SQL
• ☆ Excel
• ☆ SAS
• ☆ Tensorflow
• ☆ LaTex
• ☆ R
• ☆ Scikit-learn
• ☆ Markup Languages
• ☆ Clinical Trials
• ☆ Clinical Data Management
• ☆ Clinical Trials Data Analysis
• ☆ Human Biology
• ☆ Vascular Medicine
• ☆ Pacemakers
• ☆ Clinical Cardiac Electrophysiology
• ☆ Cardiovascular Disease Management
• ☆ Clinical Laboratory Science
• ☆ Clinical Physiology
• ☆ Health Technology Assessment
• ☆ E-Health & Telemedicine
• ☆ Health Informatics
• ☆ Intensive Care Medicine

サービス

• Data & AI

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization

職務経験

Critical Care Cardiologist

Ternopil Regional Clinical Hospital

8月 2020 - 現在

PhD student

I.Horbachevsky Ternopil National Medical University

9月 2018 - 現在

学歴

I.Horbachevsky Ternopil National Medical University

- 現在

認定資格

• Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

  deeplearning.ai

  https://www.coursera.org/account/accomplishments/verify/DF2KECUHKLG0

  3月 2025 - 現在

• Neural Networks and Deep Learning

  deeplearning.ai

  https://www.coursera.org/account/accomplishments/verify/THBBZYWHCBJW

  4月 2019 - 現在

• Machine Learning

  Stanford University (Coursera)

  https://www.coursera.org/account/accomplishments/verify/JXRJASCMRUQX

  5月 2018 - 現在

出版物

JOURNAL ARTICLE

S.N. Vadzyuk, P.S. Tabas (2025). ENDOCRINE FUNCTION OF SKELETAL MUSCLES . Fiziolohichnyĭ zhurnal.

P.S. Tabas, V.I. Tsymbalyuk, S.N. Vadzyuk, O.M. Ratynska, V.V. Sas, M.O. Sopiga (2025). Predicting the Recovery of Psychophysiological State after Chronic Stress: A Neural Network Model . Fiziolohichnyĭ zhurnal.

S.N. Vadzyuk, P.S. Tabas (2024). PREDICTION OF BLOOD PRESSURE LEVEL USING NEURAL NETWORK MODELS . Fiziolohichnyĭ zhurnal.

Vadzyuk, S.N., Huk, V.O., Tabas, P.S.(2023). FUNCTIONAL CAPABILITIES OF THE CARDIOVASCULAR SYSTEM AND STRESS RESISTANCE OF INDIVIDUALS WITH DIFFERENT HEAT SENSITIVITY . Fiziologichnyi Zhurnal. 69. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 24-30.

Vadziuk, S.N., Tabas, P.S., Kulchytskyi, V.J., Pankiv, I.B.(2022). Cardiovascular System Response to Cold Stress in Individuals with Different Levels of Blood Pressure . Problems of Cryobiology and Cryomedicine. 32. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 134-143.

Tsymbaliuk, V.I., Vadziuk, S.N., Tolokova, T.I., Tabas, P.S.(2021). PREVALENCE of PREMATURE BIRTH in CONDITIONS of GLOBAL WARMING,Поширеність передчасних пологів в умовах глобального потепління . Medicni Perspektivi. 26. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 152-161.