Jinhang Jiang

Sr. Data Scientist, AI Solutions @ McKesson Corp.

RESEARCH INTERESTS

Forecasting
Generative AI
Natural Language Processing
Healthcare Information System

EDUCATION

Arizona State University, Tempe (AZ)
Master of Science in Business Analytics
Applied Project: "Investigating Influencer Endorsements for Adidas: A Data-Driven Exploration"
University of Kansas, Lawrence (KS)
Bachelor of Science in Business Analytics
Capstone Project: "A Network Framework for Exploratory and Predictive Analysis with IMDb Data"

INDUSTRY WORK EXPERIENCE

McKesson Corp.

Sr. Data Scientist - McKesson Technology

Walmart Inc.

Sr. Data Scientist - Transportation

Walmart Inc.

Data Scientist - Merchandising, Inventory Management & Fulfillment, and Generative AI

RESEARCH EXPERIENCE

Shandong University of Finance and Economics, The Industrial Development Research Institute

Senior Researcher - Computational Economics

University of Kansas, Business Analytics

Volunteer Researcher - Analytics, Information, and Operations Management

Arizona State University, Adidas Actionable Analytics Lab

Student Researcher - Social Media Analytics

University of Kansas, Business Analytics

Research Assistant - Analytics, Information, and Operations Management

PEER-REVIEWED JOURNAL PAPERS

Jiang J., Bandeli K., Srinivasan K.
"Dynamic model selection in enterprise forecasting systems using sequence modeling."
Decision Support Systems, p.114439.
Jiang J. et al.
"TextRegress: A Python Package for advanced regression analysis on long-form text data."
Software Impacts, 100760.
Jiang J. and Srinivasan K.
"A Discrete Bayesian Network for Analyzing Hospital Discharge Data."
Int. J. Data Science.
Srinivasan K. and Jiang J.
"Examining Disease Multimorbidity in U.S. Hospital Visits Before and During COVID-19 Pandemic: A Graph Analytics Approach."
ACM Trans. Manage. Inf. Syst. 14, 2, Article 17, 17 pages.
Jiang J. and Srinivasan K.
"MoreThanSentiments: A text analysis package."
Software Impacts, 100456.
Jiang J. and Srinivasan K.
"Comparing Pregnancy and Childbirth-related Hospital Visits in Arizona Before and During COVID-19 Using Network Analysis."
J. Digit. Sci. 3(2), 37 – 52.

REFERENCED CONFERENCES

Jiang J. et al.
"Optimizing Retail Forecasting: Long-Term Model Selection with Deep Learning"
The 58th Hawaii International Conference on System Sciences (HICSS-58)
Jiang J. et al.
"Leveraging Deep language Models for Forecasting Firm Value Using Financial Disclosures"
Workshop on Information Technologies and Systems (WITS 2023)
Jiang J. et al.
"Can Conversations on Reddit Forecast Future Economic Uncertainty? An Explainable Deep Learning Approach"
International Conference on Information Systems (ICIS 2023)
Jiang J. et al.
"Dynamic Network Modeling of Retail Data Reveals Opportunities for Cross-Selling and Demand Forecasting"
Informs Workshop on Data Science (WDS 2023)
Jiang J. et al.
"Forecasting Future Economic Uncertainty with Sentiments Embedded in Social Media"
16th International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2023)
Srinivasan K. and Jiang J.
"Capturing Enduring Effects of the COVID-19 Pandemic on Hospital Visits in U.S. Using Graph Modeling"
Health Information Technology Symposium (HITS) - AIS SIG-Health Sponsored Pre-ICIS Workshop

SOFTWARES

TextRegress
A Python Package for advanced regression analysis on long-form text data
Authors: Jiang J., Liu B., Peng W., Srinivasan K.
2k+ downloads
MoreThanSentiments
A comprehensive text analysis package for sentiment analysis and beyond
Authors: Jiang J., Srinivasan K.
24k+ downloads

INVITED TALKS

"Forecast-then-optimize: Practical Forecasting Solutions for Large-Scale Applications"
AI Club, University of Kansas
"Future-Proof Your DS Career: My Journey and Your First Big Move"
Math and Computer Science Department, Southern Arkansas University
"“The DS Mindset to Senior Level"
Math and Computer Science Department, Southern Arkansas University
"Learn Data Science with A Production Mindset"
Math and Computer Science Department, Southern Arkansas University

FREELANCING EXPERIENCE

Data Science Writer
27 articles, 700+ followers, and 228K+ views.

AWARDS & HONORS

McKesson Technology Global Awards
McKesson Corp.
Bravo Award Winner
Walmart Inc.

ACADEMIC SERVICE

Number of Papers and Grant Applications Reviewed

Number of papers reviewed: 50+
Number of grant-applications reviewed: 20+

Grant Reviewer

National Science Foundation (NSF) Reviewer
2023

PC Member

FinNLP 2022 to 2025
Workshop on Financial Technology and Natural Language Processing
ER 2024
International Conference on Conceptual Modeling
ICWSM 2024
International AAAI Conference on Web and Social Media
W3PHIAI 2023 to 2024
International Workshop on Health Intelligence in conjunction with AAAI
CADSCOM-2022 to 2024
Colloquium on Analytics, Data Science and Computing – a chapter conference approved by ACM

Journal Manuscript Reviewer

Journal of Open Source Software
Journal of Healthcare Informatics Research

Conference & Workshop Reviewer

INTERNATIONAL AAAI CONFERENCE ON WEB AND SOCIAL MEDIA (ICWSM)
Midwest United States Association for Information Systems Conference (MWAIS)
IEEE International Conference on Computer Science and Information Technologies (CSIT)
International Conference on Information Systems (ICIS)
Conference on Empirical Methods in Natural Language Processing (EMNLP)
International Conference on Artificial Intelligence in Medicine (AIME)
Conference on Artificial Intelligence (AAAI)
International Conference on Recent Advances in Computing Sciences (RACS)

REFERENCES

Karthik Srinivasan

Assistant Professor
Department of Business Analytics
School of Business, University of Kansas
Email: karthiks@ku.edu
Relationship: Supervisor, Mentor, Professor

Victor Benjamin

Assistant Professor
Department of Information Systems
W.P. Carey School of Business, Arizona State University
Email: Victor.Benjamin@asu.edu
Relationship: Professor, Applied Project Supervisor