DAT HONG

(319)-512-5072
dat.hong@yale.edu
hongtiendat@gmail.com

I am a postdoctoral researcher at Yale University, School of Management, working under the guidance of Prof. Tong Wang and Prof. K. Sudhir. My research focuses on Machine Learning and Deep Learning applications, with a particular emphasis on Interpretable Machine Learning and Natural Language Processing. Currently, I am engaged in work with large language models (LLMs) such as GPT-3, GPT-4, and Llama 2 and 3. My projects include LLM deployment, training, fine-tuning, and prompt engineering.

I am actively seeking full-time job opportunities after finishing my current appointment. I am interested in positions such as AI/Machine Learning Researcher, Data Scientist, Machine Learning Engineer, and Software Engineer.

My ultimate goal post-graduation is to secure an industry position in AI, Data Science, Machine Learning, or Software Development.

Experience

Postdoctoral Researcher

Yale University, School of Management

Participate in new research projects in the area of natural language processing for marketing problems. Contribute to the Marketing group research community by taking part in seminars and events and providing mentorship to students

July 2023 - Present

Data Science Intern

NBCUniversal

Design and implement a search recommender system for Peacock TV.

Jan 2023 - May 2023

Graduate Research Assistant

The University of Iowa Tippie College of Business

Analyze, and build interactive visualizations & predictive models for annual Diversity, Equility, and Inclusion (DEI) reports from a variety of companies to discover social patterns, trends, topics, industrial interests, etc.

August 2022 - January 2023

Graduate Research And Teaching Assistant

The University of Iowa, Computer Science Department

Task: Grading, holding office hours, leading discussion sessions, design problem solutions and guide students.

Graduate courses: Deep Learning, Health Data Analytics, Information Visualization.

Undergraduate-level courses: Fundamentals of Computer Science , Algorithms, Discrete Structures.

September 2018 - June 2022

Graduate Research Assistant

University of Iowa Health Care

Task: Analyzed the HCUP dataset, which contains 27 million records of patient emergency room and hospital discharges. Our goal is to mine knowledge from the dataset and build an accurate classifier to predict if an emergency visit will result in rehospitalization within 7,14 and 30 days. Achievement: We can achieve 82% AUC and are still in the process of improving it.

Developed a cough detection system to classify whether a sound is a cough sound or not. Our goal is to count how many cough sounds from hundreds of hours of sound collected from the hospital. Achievement: We developed a logistic regression model to classify cough with > 96% AUC.

May 2016 - January 2018

Education

The University of Iowa

PhD in Computer Science
Research areas: Artificial Intelligence (AI), Machine Learning, Data Mining
August 2017 - May 2023

The University of Iowa

Master of Computer Science

GPA/Major GPA: 3.83/3.92

August 2015 - May 2017

Skills

Generally, I am experienced in many popular software languages, tools and technologies and can be quickly adapt to learn new technologies if required. Here are some technologies that I have been mostly working with:

  • Python (Numpy, Sklearn, Scipy, etc)
    8+ years of experience
  • Machine learning, Deep learning with Tensorflow/Keras and Pytorch
    7+ years of experience
  • Data analysis/Data visualization with Tableau, Python libraries, D2.js, etc
    5+ years of experience
  • Database: PostgreSQL, MySQL, Oracle
    5+ years of experience
  • Java, with JSP/Servlet, Swing/JFC, Spring, Hibernate/JPA
    4 years of experience
  • Web interfaces programming: HTML, CSS, JavaScript, jQuery
    3 years of experience
  • C++, PHP, Android programming
    2 years of experience
  • Large Language Models prompting, training, fine-tuning: ChatGPT, GPT3/4, Llama2
    1 year of experience

Publications

Hobbies

I study hard and play hard.

I love music. I have some trainings on music so I can sing and play music instruments. I know how to play piano and guitar and used to be an amateur music composer. Currently I'm only playing piano occasionally. Will play guitar again when I have time.


I love sports: I can play soccer and table tennis quite well. Swimming, badminton: Amateur level. Other sports: casual

I love reading: variety of topics: comic books, folktales, novels, history, philosophy, psychology, science, etc. including textbooks ;) I love books and read whenever I find new interesting ones.