Feng Mi

Feng Mi Email and Phone Number

Data Scientist - Applied AI Research @ Fidelity Investments
Richardson, TX, US
Feng Mi's Location
Richardson, Texas, United States, United States
Feng Mi's Contact Details

Feng Mi personal email

n/a
About Feng Mi

I am a sixth-year Ph.D. candidate in Computer Science at the University of Texas at Dallas, set to graduate in June. With five years of experience in designing machine learning, data mining, and deep learning models, I am proficient in using frameworks such as PyTorch and TensorFlow, along with tools like NumPy, Pandas, and Scikit-learn. Throughout my research career, I have worked on notable projects that demonstrate my expertise and innovation:Smart Contracts Vulnerabilities Detection: I designed a metric learning-based deep neural network (DNN) and a code representation learning method using NLP-based techniques. This research was published in ICBC 2021.Fairness in Online Learning: I developed variational auto-encoder (VAE) and meta-learning frameworks to address fairness issues in online settings. The related works were accepted at KDD 2021, KDD 2022, and TKDD 2024. My other interests include Recommender Systems, Natural Language Processing (NLP), Large Language Models (LLMs), AI for Security, and Generative AI. I am a quick learner and enthusiastic about exploring new directions in technology and research.

Feng Mi's Current Company Details
Fidelity Investments

Fidelity Investments

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Data Scientist - Applied AI Research
Richardson, TX, US
Feng Mi Work Experience Details
  • Fidelity Investments
    Data Scientist - Applied Ai Research
    Fidelity Investments
    Richardson, Tx, Us
  • The University Of Texas At Dallas
    Research Assistant
    The University Of Texas At Dallas Jun 2020 - Present
    Dallas, Texas, United States
    Research experience mainly lies in designing and adopting deep learning models to solve real-world problems, e.g., using metric learning-based DNN to detect the vulnerabilities in blockchain smart contracts published to ICBC 2021, and also some work trying to deal with fairness issues in the deep learning models under different environments which accepted by KDD 2021 & KDD 2022.
  • The University Of Texas At Dallas
    Teaching Assistant
    The University Of Texas At Dallas Jan 2018 - May 2020
    Dallas/Fort Worth Area
    Offer more than 3 hours every week for undergraduate students to help them with their courses.
  • Fidelity Investments
    Data Scientist - Ai Applied Research Co-Op
    Fidelity Investments Jan 2023 - May 2023
    Westlake, Tx
  • Eternova Inc.
    Software Development Engineer
    Eternova Inc. Aug 2019 - Jan 2020
    Plano, Texas, United States
    • Designed and evaluated approaches (R-CNN, Fast R-CNN, YOLO_V3) for car plate detection and plate number prediction.• Implemented data augmentation strategies (crop, flip, etc.) for car plate images.• Integrated SDKs from Azure, GCE, and AWS for cloud hosting services, and from Stripe, Alipay, and WeChat Pay for payment methods.• Tools: Flask (backend), Angular (frontend)

Feng Mi Skills

Java Python Sql Machine Learning Software Development Artificial Intelligence Algorithm Analysis Linux Requirements Engineering Tensorflow

Feng Mi Education Details

Frequently Asked Questions about Feng Mi

What company does Feng Mi work for?

Feng Mi works for Fidelity Investments

What is Feng Mi's role at the current company?

Feng Mi's current role is Data Scientist - Applied AI Research.

What is Feng Mi's email address?

Feng Mi's email address is fe****@****ity.com

What schools did Feng Mi attend?

Feng Mi attended The University Of Texas At Dallas, University Of Delaware, Nanjing University Of Information Science And Technology.

What skills is Feng Mi known for?

Feng Mi has skills like Java, Python, Sql, Machine Learning, Software Development, Artificial Intelligence, Algorithm Analysis, Linux, Requirements Engineering, Tensorflow.

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