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Resume
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Alihan Hatunoglu

Education

Yeditepe University — Faculty of Medicine

Istanbul — Sep. 2021 - today

4th year / 6

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Koç University — College of Engineering

Istanbul — Sep. 2020 - June 2021

Completed Courses : Calculus I & II , Introduction to Linear Algebra , General Physics ( + Lab ) , General Chemistry ( + Lab ) , Programming with Python , Academic Writing , Environmental Ethics

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Kabataş High School — Mathematics & Sciences Track

Istanbul — Sep. 2015 - June 2020

Final Grade: 91.2 / 100

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Experience

Yeditepe University Hospital & Stem Cell Laboratory — Intern

Istanbul — Sep. 2023 - today

  • I have been learning how to analyse flow cytometry data to diagnose hematopoietic neoplasms.
  • I have been working on a project that aims to classify cell populations using machine learning.

Koç University Computational Structural Biology Laboratory — Member

Istanbul — Sep. 2020 - June 2021

  • Gained valuable insight into teamwork in an academic setting.
  • Used Bash ( Unix shell ) to run tests for the development of a machine learning algorithm.

Projects

TÜBİTAK 2209 A : Research Projects Support Programme Grant Recipient

  • Title : Classification of Hematogons and Neoplastic B Lymphoblasts through Computational Analysis of Immunophenotypic Flow Cytometry Data with Supervised Machine Learning

  • Funded by Scientific and Technological Research Council of Turkey ( TÜBİTAK )

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Research Interests

  • Computational & Quantitative Biology
  • Immunology & Neuroscience
  • Medical Systems Biology

Skills

  • Python : ●●●○○
  • R : ●●○○○
  • Bash (Unix shell) : ●○○○○

Languages

  • Turkish : Native
  • English : ●●●●●

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Certificates

Supervised Machine Learning: Regression and Classification

Online — July 2024

Offered by DeepLearning.AI and Stanford University through Coursera. Covered topics include:

  • Regression, classification, and the fundamentals of supervised learning
  • Implementing machine learning algorithms in Python

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Introduction to Probability and Data with R

Online — July 2023

Offered by Duke University through Coursera. Covered topics include:

  • Introduction to sampling and exploring data
  • Basic probability theory and Bayes' rule
  • Various types of sampling methods and their impact on the scope of inference
  • Variety of exploratory data analysis techniques

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Fundamental Neuroscience for Neuroimaging

Online — January 2023

Offered by Johns Hopkins University through Coursera. Covered topics include:

  • Neuroscience concepts necessary to understand the implementation of neuroimaging methods
  • Introduction to neuroimaging physics and image formation
  • Overview of different neuroimaging applications: fMRI , Diffusion Tensor Imaging , MRI , and PET

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Certificate of Animal Use in Experimental Research

Istanbul — January 2022

Offered by Yeditepe University Animal Experiments Local Ethics Committee.

  • I received type A certificate for rodent use in experimental research.

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