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Yuchen Wu profile image

Yuchen Wu

Summer Research Intern at Vienna BioCenter
Intro Book
Researcher with expertise in scientific computing and machine learning
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Location
Greater Cambridge Area, GB
Languages
  • Chinese Native or bilingual proficiency
  • English Professional working proficiency
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Bio

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Yuchen Wu is a skilled researcher with expertise in scientific computing, data-driven drug discovery, and machine learning. She has worked in various prestigious institutions, including the University of Cambridge and the Vienna BioCenter, and has a strong background in programming languages such as Python, C++, and FORTRAN.

Credentials

  • Deep Learning Specialization
    Coursera
    Sep, 2020
    - Apr, 2026
  • Business Analysis Foundations
    LinkedIn
    Sep, 2020
    - Apr, 2026
  • Convolutional Neural Networks
    Coursera
    Aug, 2020
    - Apr, 2026
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Aug, 2020
    - Apr, 2026
  • Neural Networks and Deep Learning
    Coursera
    Aug, 2020
    - Apr, 2026
  • Structuring Machine Learning Projects
    Coursera
    Aug, 2020
    - Apr, 2026
  • Applied Machine Learning in Python
    Coursera
    Jul, 2020
    - Apr, 2026
  • Applied Plotting, Charting & Data Representation in Python
    Coursera
    Jul, 2020
    - Apr, 2026
  • Introduction to Data Science in Python
    Coursera
    Jul, 2020
    - Apr, 2026
  • Sequence Models
    Coursera

Experience

  • Vienna BioCenter
    • Summer Research Intern
      • Jul 2021 - Aug 2021

      Selected as one of the 15 students world-wide out of the pool of around 3000 applications.Worked in the Chemical Biology and Epigenetics Lab under the supervision of Dr. Stefan Kubicek. Carried out research on SMNDC1 protein.Used intron-tagging of SMNDC1 gene to enable live-cell tracking and nuclear localization of SMNDC1 protein. Carried out ligand-receptor docking using the Schrodinger software, in order to identify inhibitors of SMNDC1 protein.

  • Department of Chemistry, University of Cambridge
    • Summer Research Intern
      • Jul 2020 - Sep 2020

      Worked in the Data-Driven Drug Discovery and Molecular Informatics Group and investigated in-silico compound activity prediction.Built an artificial neural network (ANN) and trained the ANN model using active compounds dataset and inactive compounds dataset. ECFP4 fingerprints were calculated for each compound and were used as the input for the ANN model. Cross validations and parameter searches were carried out to evaluate and improve the model.

  • Department of Materials Science and Metallurgy, University of Cambridge
    • Cambridge, United Kingdom
    • Summer Research Intern
      • Jun 2019 - Aug 2019
      • Cambridge, United Kingdom

      I worked in the Optical Nanomaterials Group to investigate the Galvanic replacement for decoration of Mg nanoparticles. My results showed qualitatively how concentration, temperature and time affected the replacement reactions with different metal salts.

  • Fujian Institute of Research on the Structure of Matter,Chinese Academy of Sciences
    • Fuzhou, Fujian, China
    • Research Assistant
      • Jul 2017 - Aug 2017
      • Fuzhou, Fujian, China

      I helped to run and analyse the IR spectrum of samples produced by the researchers and worked in the organic synthesis lab to help researchers prepare reagents.

  • Ashford School
    • Ashford, Kent, United Kingdom
    • Independent research project-Crest Project
      • May 2017 - Aug 2017
      • Ashford, Kent, United Kingdom

      Received a gold award on my project on ‘Chemical Methods of Carbon Removal’.Carried out independent research via the internet and scientific journals and designed experiments to compare the performance of three absorbing materials under different concentrations and temperatures.Used Excel to tabulate and analyse my results. Handed in a 6000-word essay.

Education

  • 2021 - 2022
    University of Cambridge
    Master of Philosophy - MPhil, Scientific Computing
  • 2018 - 2021
    University of Cambridge
    Bachelor's degree, Natural Sciences
  • 2016 - 2018
    Ashford School
    ALevel, Chemistry A*, Physics A*, Maths A*, Further Maths A*

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