Bryan Nathanael Wijaya

Undergraduate Intern at Data Science Group at Institute for basic science (IBS)
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Contact Information
us****@****om
(386) 825-5501
Location
Daejeon, South Korea, KR
Languages
  • English Native or bilingual proficiency
  • Indonesian Native or bilingual proficiency
  • Korean Professional working proficiency

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Experience

    • Government Administration
    • 100 - 200 Employee
    • Undergraduate Intern at Data Science Group
      • Jul 2023 - Present

      "Antigen-conditioned antibody design" -- Data analysis and development of methods for antibody structure reconstruction from various coarse-grain representations using artificial intelligence (AI), review of AI-based antibody design, and development of a more general protein structure reconstruction framework "Antigen-conditioned antibody design" -- Data analysis and development of methods for antibody structure reconstruction from various coarse-grain representations using artificial intelligence (AI), review of AI-based antibody design, and development of a more general protein structure reconstruction framework

    • South Korea
    • Non-profit Organizations
    • 1 - 100 Employee
    • Scholar in the 3rd-5th Daewoong AI-Big Data Global Scholarship Program
      • Apr 2022 - Present

      [3rd] iN Therapeutics Non-Clinical Research Team "Identification of the current status of competitive material development and the latest research trends" -- Analyzing non-clinical research trends via web scraping, summarizing the monthly developments and homepage news of other pharmaceutical companies, discovering the latest paper updates on therapeutic developments, and establishing platforms to identify the latest research trends [4th] Mcircle HiDoc Team "Design and implementation of an automated article crawler, translator, summarizer, and email notification system" -- Building web scrapers for healthcare-related articles of interest with automated translator, summarizer, and email notifier tools for the HiDoc service platform [5th] Mcircle HiDoc Media Team "Design and implementation of article and dissertation summary service" -- Efficientizing on-site labor by developing a framework (including its UI) that consists of a search engine to check recent articles and news, an automated summarization service to summarize relevant articles, a chatbot service to grasp various details from specific articles, and an article drafting service to make a draft based on the contents of the articles Show less

    • South Korea
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Researcher at Data Intelligence Lab (DI Lab)
      • Sep 2022 - Jun 2023

      [Fall 2022] "Comprehension and algorithm analysis of the mining of massive datasets" -- Comprehended and analyzed the algorithms related to the mining of massive datasets, including topics on high dimension data, graph data, infinite data, machine learning, and applications covered in MMDS book[Spring 2023] "Building a fair AI-based drug-target interaction model for in silico drug repurposing" -- Construction and evaluation of a fair deep learning-based drug repositioning algorithm from drug-target interaction (DTI) data using a modified DeepPurpose module and state-of-the-art fairness methods Show less

    • Teaching Assistant of Introduction to Programming (CS101)
      • Feb 2022 - Dec 2022

    • Undergraduate Researcher at Urban Robotics Lab (URL)
      • Dec 2021 - Jun 2022

      "VINS-Mono: a brief review of feature detection and tracking" -- Understanding ROS, 3D vision, and visual SLAM (Simultaneous Localization and Mapping) with a focus on feature detection and tracking in VINS-Mono (monocular visual-inertial state estimator)

    • Education Mentor of LG Multicultural School Science (CyberPi) Program Level 3
      • Sep 2021 - Jan 2022

    • Undergraduate Researcher at Operating Systems Laboratory (OSLab)
      • Jun 2021 - Aug 2021

      "Building a small 64-bit operating system for the x86 architecture" -- Taking a course in Udemy and performing simulations on the above-mentioned topic

    • South Korea
    • Pharmaceutical Manufacturing
    • 100 - 200 Employee
    • Participant of the 6th Daewoong AI & Big Data Academy (DABA)
      • Apr 2022 - May 2022

      Python and data analysis libraries, ML (prediction and regression), DL (TensorFlow2), image classification, data collection, text analysis, NLP with ML and DL Python and data analysis libraries, ML (prediction and regression), DL (TensorFlow2), image classification, data collection, text analysis, NLP with ML and DL

    • Scholar in Daewoong Global Scholarship Program 2021
      • Mar 2021 - Dec 2021
    • Research Intern at Drug Discovery Center
      • May 2021 - Aug 2021

      "Data acquisition and pre-processing for building an AI-based drug-target interaction learning model" -- Data collection (from openDB like BindingDB, ChEMBL, and PubChem) and pre-processing (incl. EDA, ERD design, etc.) for building a drug-target interaction (DTI) in-house DB to create an AI-based new drugs development learning model, information extraction of protein target sequences, etc. "Data acquisition and pre-processing for building an AI-based drug-target interaction learning model" -- Data collection (from openDB like BindingDB, ChEMBL, and PubChem) and pre-processing (incl. EDA, ERD design, etc.) for building a drug-target interaction (DTI) in-house DB to create an AI-based new drugs development learning model, information extraction of protein target sequences, etc.

    • Visiting Student at Electrochemical Materials Design Laboratory (EMDL)
      • Feb 2018 - Dec 2018

      "Improving rechargeable lithium-ion battery by the adjustment of its electrode and electrolyte material" -- Synthesis of a covalent organic framework (COF) containing azo group and beta-ketoenamine linkage and the investigation of its application as the substitute electrode material of rechargeable lithium-ion battery "Improving rechargeable lithium-ion battery by the adjustment of its electrode and electrolyte material" -- Synthesis of a covalent organic framework (COF) containing azo group and beta-ketoenamine linkage and the investigation of its application as the substitute electrode material of rechargeable lithium-ion battery

Education

  • Korea Advanced Institute of Science and Technology
    Bachelor of Science - BS, Electrical Engineering
    2020 - 2023
  • KAIST부설 한국과학영재학교
    High School Diploma, Science With a Focus on Chemistry
    2017 - 2020

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