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Mykyta Kizilov

Graduate Research Assistant – Advanced Spectroscopy Laboratory

USA flag
College Station, Usa
$75.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

Biomedical imaging and spectroscopy
Computational spectroscopy and biomedical optics
Physics

Top Data Types

ImageImage

Top Task Types

Classification

Freelancer Overview

Graduate Research Assistant – Advanced Spectroscopy Laboratory. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Doctor of Philosophy, Texas A&M University (2025) and Master of Science, Texas A&M University (2024). AI-training focus includes data types such as Image and labeling workflows including Classification. Worked on Physics AI tutoring and labeling physics problems

IntermediateRussianUkrainianEnglish

Labeling Experience

Graduate Research Assistant – Advanced Spectroscopy Laboratory

ImageClassification
As a Graduate Research Assistant in the Advanced Spectroscopy Laboratory, performed extensive data labeling of biomedical images and spectroscopic datasets for algorithm training and validation. Labeled images obtained from Brillouin, Raman, and Fluorescence Lifetime Imaging Microscopy (FLIM) modalities to distinguish cell types, disease states, and material properties. Developed standardized labeling protocols and applied them to support machine learning-based diagnostic tool development. • Created datasets for distinguishing wild-type and CRISPR gene-edited cancer cells using Brillouin microscopy. • Labeled FLIM datasets to enable optical diagnosis of blood disorders. • Annotated biomechanical and biochemical properties of tissues, cells, and biomaterials. • Processed and labeled data for validation of custom computational spectroscopy algorithms.

As a Graduate Research Assistant in the Advanced Spectroscopy Laboratory, performed extensive data labeling of biomedical images and spectroscopic datasets for algorithm training and validation. Labeled images obtained from Brillouin, Raman, and Fluorescence Lifetime Imaging Microscopy (FLIM) modalities to distinguish cell types, disease states, and material properties. Developed standardized labeling protocols and applied them to support machine learning-based diagnostic tool development. • Created datasets for distinguishing wild-type and CRISPR gene-edited cancer cells using Brillouin microscopy. • Labeled FLIM datasets to enable optical diagnosis of blood disorders. • Annotated biomechanical and biochemical properties of tissues, cells, and biomaterials. • Processed and labeled data for validation of custom computational spectroscopy algorithms.

2024 - Present

Education

T

Texas A&M University

Master of Science, Physics

Master of Science
2021 - 2024
V

V.N. Karazin Kharkiv National University

Master of Science, Applied Physics

Master of Science
2019 - 2020

Work History

T

Texas A&M University

Graduate Research Assistant

College Station
2024 - Present
C

CERN

Visiting Scientist

Geneva
2023 - 2023