RONGCHEN GUO


M.S. in Computer Science

Email: rongchen.guo1020@gmail.com

LinkedIn         Website         Google Scholar  
Interests:
•   Deep Learning
•   Natural Language Processing
•   Visualization
•   Human-Computer Interaction
BIO
Rongchen Guo's research topics are related to deep learning, natural language processing, visual analytics, and human-computer interactions. In 2021, he received Vector Scholarship in Artificial Intelligence from the Vector Institute, Canada. From 2024, he joined Legal Tech pillar of Thomson Reuters Labs as an applied scientist. 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).
WORK EXPERIENCE
Thomson Reuters Labs
Applied Scientist
Toronto, ON, CAN
05/2024 - now
  • Topic:
  • Topic:
  • Group:
  • LLM-as-judege in litigation drafting
  • Multi-agent transational drafting
  • Labs Legal Tech
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Oracle Labs
Research Associate
Toronto, ON, CAN
12/2022 - 12/2023
  • Topic:
  • Topic:
  • Group:
  • LLM instructional fine-tuning for named entity recognition
  • Agentic workflow of 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-graph & graph-to-text
  • 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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