RONGCHEN GUO


M.S. in Computer Science

Email: rongchen.guo1020@gmail.com

LinkedIn         Website         Google Scholar  
Interests:
•   Machine Learning
•   Software Engineering
•   Visual Analytics
•   Virtual Reality
BIO
Rongchen Guo's research topics are related to machine learning, deep learning, visual analytics, software engineering, and human-computer interaction. In 2021, he received Vector Scholarship in Artificial Intelligence from the Vector Institute, Canada. During 2022-2023, he worked as an associate researcher for the AutoMLx team of Oracle Labs. During 2019-2020, He worked for Data Knowledge Intelligence / Software Analytics group of Microsoft Research Asia (MSRA).
EDUCATION
University of Ottawa
M.S. in Computer Science
GPA   10.0 / 10.0
Ottawa, ON, CAN
9/2021 - 5/2023
  • Machine Learning
  • Deep Learning & Reinforcement Learning
  • Natural Language Processing
  • Knowledge Representation
  • A+
  • A+
  • A+
  • A+
  • Advanced Machine Learning
  • Machine Learning for Software Engineering
  • Ethics for Artificial Intelligence
  • AI: Virtual Assistants
  • A+
  • A+
  • A+
  • A+
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WORK EXPERIENCE
Oracle Labs
Research Associate
Toronto, ON, CAN
12/2022 - 12/2023
  • Topic:
  • Topic:
  • Group:
  • LLM instructional fine-tuning for named entity recognition
  • LLM prompt engineering for entity / relation extractions from texts
  • AutoMLx
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Oracle Labs
Machine Learning Intern
Toronto, ON, CAN
5/2022 - 9/2022
  • Topic:
  • Topic:
  • Group:
  • Unsupervised / few-shot text to knowledge graph mutual transformation
  • Graph serialization
  • AutoMLx
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Microsoft Research
Research Intern
Beijing, China
10/2019 - 1/2020
  • Topic:
  • Group:
  • Intelligent recognition of spreadsheet semantics
  • Data knowledge intelligence | software analytics
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SKILLS
+  Programming:
Python, JavaScript, C#, Java, C, HTML, MATLAB, CSS; Object-oriented
+  Machine Learning:
PyTorch, TensorFlow, scikit-learn, HuggingFace (transformers, datasets, gradio), OpenAI, LangChain, ONNX, keras, nltk; numpy, pandas; matplotlib, seaborn
+  Framework & Tools:
D3.js, Node.js, React.js, Django, A-frame, Bootstrap, jQuery, Apache Spark
+  Cloud & DB:
AWS, Azure; SQL, SQLite, MongoDB, Oracle DB
+  Other:
Git, Linux/Unix, Jira, LaTeX
SCHOLARSHIPS
+  2021
Vector Scholarship in Artificial Intelligence, Vector Institute, Canada.
MOOC
Machine Learning
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Deep Learning Specialization
  • Neural Networks and Deep Learning
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
  • Structuring Machine Learning Projects
  • Convolutional Neural Networks
  • Sequence Models
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DeepLearning.AI TensorFlow Developer
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
  • Convolutional Neural Networks in TensorFlow
  • Natural Language Processing in TensorFlow
  • Sequences, Time Series and Prediction
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AI for Medicine
  • AI for Medical Diagnosis
  • AI for Medical Prognosis
  • AI for Medical Treatment
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Python for Everybody
  • Programming for Everybody (Getting Started with Python)
  • Python Data Structures
  • Using Python to Access Web Data
  • Using Databases with Python
  • Capstone: Retrieving, Processing, and Visualizing Data with Python
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