• I am a final-year Ph.D. student at Stevens Institute of Technology, majoring in Data Science. 

• I am currently working as an Applied Scientist Intern at Amazon. Prior to this, I was a Research Fellow at AllianceBernstein and an Equities Research Intern at Jefferies. 

• My academic work has been presented at the top-tier Information Systems (ICIS) and FinTech (ICAIF) conferences. I also serve as a reviewer for several prestigious conferences (e.g., ICIS, NeurIPS, AMCIS, ICLR) and journals. As a course instructor, I have designed and taught multiple Master’s-level core courses, including statistics, linear algebra, and web mining.

• After spending three years in information systems and two in business analytics, my interests have gravitated toward the potential of deep learning models in the business world. My current research focuses on Financial Technology (FinTech), Natural Language Processing (NLP), Social Network Analysis (SNA), and Graph Representation Learning (GNNs).

Latest News

[Oct 2023]  Our paper "To Automate or Not? How Open Collaboration Communities Decide on Bot Adoption" is accepted for oral presentation at ICIS 2024, Bangkok, Thailand.

[Sep 2024] I will join Amazon Science as an Applied Scientist Intern.

[Jun 2024] I am invited to give a talk on "Incorporating LLMs and Graphs for Portfolio Construction" at Q-Group Investment Webinar at AllianceBernstein L.P., New York, NY, US, 2024.

[Apr 2024] I am invited to give a talk on "From Text to Treasure: Leveraging LLMs and Graphs for Stock Movement Predictions" at NLP and Machine Learning in Investment Management Conference, New York, NY, U.S, 2024.

[Nov 2023] Our LLM paper, "Deciphering Corporate Online Reputation through Employee Reviews," is invited for presentation at 2024 POMS Annual Meeting.

[Nov 2023]  I have successfully passed my PhD proposal defense. I will hold the final dissertation defense next year.

[Oct 2023]  Our paper "Predict Misinformation Spread with StanceAware GNN" is accepted for oral presentation at ICIS 2023, Hyderabad, India.

[Oct 2023]  I am invited to give a talk on "How ChatGPT and LLMs can enhance stock market prediction" at the U.S. Bank AI Research Seminar.

[Sep 2023]  Our paper "Modeling Inverse Demand Function with Dual Neural Networks" is accepted for oral presentation at ICAIF 2023, NY, US.

[Jun 2023]  Our paper "ChatGPT+GNN for stock prediction" is accepted for oral presentation at KDD 2023, Workshop on RobustNLP for Finance, CA.

[Jun 2023]  We will present our work at the 2023 INFORMS Annual Meeting, Phoenix, AZ. The session will be "Generative AI for Business Analytics".

[May 2023]  Our FinTech paper, which integrates ChatGPT and GNNs for stock movement prediction, is now accessible on both arXiv and SSRN.

[Oct 2022]   We are invited to present our latest work at the 2022 INFORMS Annual Meeting, Indianapolis, IN. The session will be "Making Sense of AI".

[Jun 2022]   I am awarded the Data Science Fellowship from Jefferies Group LLC. I will join Jefferies as a Software Developer Intern this summer.

[Dec 2021]  Our paper has been accepted and nominated for AIS SIGDSA 2021's Best Paper Award. The paper will be presented at the symposium.