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Mrs. Amarachi Madu, Automated Intelligence, Best Researcher Award

Amarachi Madu at Virginia Tech, United States


Mrs. Amarachi Madu is a Ph.D. candidate in Computer Science at Virginia Tech, with a strong background in mathematics and computer science. With a keen interest in artificial intelligence and its applications, she has conducted groundbreaking research in various domains including finance, healthcare, and human-computer interaction. With a Master’s degree from Austin Peay State University and a Bachelor’s degree from Nnamdi Azikiwe University, she brings a diverse skill set encompassing programming, data analytics, machine learning, and statistical analysis. Amarachi is passionate about leveraging cutting-edge technologies to address real-world challenges and improve human lives.

Professional Profile:


Ph.D. in Computer Science

  • University: Virginia Tech, Blacksburg, VA
  • Duration: 8/2020 – Present
  • GPA: 3.93/4.0

Master of Science in Computer Science and Quantitative Methods

  • University: Austin Peay State University, Clarksville, TN
  • Duration: 8/2018 – 5/2020
  • GPA: 4.0/4.0

Bachelor of Science in Mathematics

  • University: Nnamdi Azikiwe University, Awka, Nigeria
  • Duration: 9/2010 – 9/2014
  • GPA: 4.72/5.0

Professional Experience:

Mrs. Amarachi Madu has accumulated a wealth of professional experience across various prestigious institutions and organizations:

As an AI Research Summer Associate at JPMorgan Chase & Co from June 2023 to August 2023, she conducted groundbreaking research in financial services, focusing on complex problems in the finance domain in collaboration with the natural language processing team.

Currently, she serves as a Graduate Research Assistant at Virginia Tech, Blacksburg, VA since January 2023, where she contributes to cutting-edge AI research.

Prior to her role at Virginia Tech, she was a Graduate Teaching Assistant at Virginia Tech from August 2020 to December 2022, where she played a key role in teaching information visualization, problem-solving in computer science, introduction to programming in Java, and data analytics and visualization.

Previously, she also worked as an AI Research Summer Associate at JPMorgan Chase & Co from June 2022 to August 2022, focusing on AI research in financial services, particularly collaborating with the natural language processing team on research problems in finance.

During her tenure as a Summer Extern at AT&T from July 2021 to August 2021, she underwent extensive training in various business and technical aspects to enhance personal and professional development.

Her journey in research began as a Graduate Research Assistant at Austin Peay State University, Clarksville, TN from August 2018 to May 2020, where she facilitated structured learning sessions for students and contributed to advancements in research, particularly in the application of linear multi-step methods and statistical analysis.

Through these roles, Mrs. Amarachi Madu has demonstrated her commitment to advancing knowledge in artificial intelligence, natural language processing, and related fields, while also gaining valuable experience in teaching, research, and industry collaboration.

Research Interest:

  • Artificial Intelligence
  • Natural Language Processing
  • Multi-modal Machine Learning
  • Medical Imaging
  • Human-Computer Interaction

Top Noted Publication:

Title: ChatGPT passing USMLE shines a spotlight on the flaws of medical education

  • Authors: AB Mbakwe, I Lourentzou, LA Celi, OJ Mechanic, A Dagan
  • Journal: PLOS Digital Health
  • Volume: 2
  • Issue: 2
  • Page: e0000205
  • Year: 2023

Title: Chexrelnet: An anatomy-aware model for tracking longitudinal relationships between chest x-rays

  • Authors: G Karwande, AB Mbakwe, JT Wu, LA Celi, M Moradi, I Lourentzou
  • Conference: International Conference on Medical Image Computing and Computer-Assisted
  • Year: 2022

Title: Fairness metrics for health AI: we have a long way to go

  • Authors: AB Mbakwe, I Lourentzou, LA Celi, JT Wu
  • Journal: EBioMedicine
  • Volume: 90
  • Page: 9
  • Year: 2023

Title: Enhancing mathematics achievement of introverted and extroverted secondary school students through the use of advance organizers

  • Authors: OE Chinelo, ON Francisca, MA Blessing
  • Journal: Journal of Educational Research and Reviews
  • Volume: 4
  • Issue: 3
  • Page: 27-32
  • Year: 2016
Amarachi Madu | Automated Intelligence | Best Researcher Award

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