Leveraging Generative AI for Visual Content in Digital Advertising

Revise invited at Marketing Science

SSRN

• Develop a novel creative design process combining generative AI with deep Bayesian prediction models to identify high-performance, brand-compatible ad content.
• Demonstrate superior performance of AI-generated visuals compared to human designs in a field application, providing a framework for effectively integrating generative AI in digital advertising.

AI-Human Hybrids for Marketing Research: Leveraging LLMs as Collaborators

Journal of Marketing

• We argue that a human-LLM hybrid approach improves marketing research by enhancing data generation, analysis, and insight quality.
• The paper demonstrates that combining human and LLM strengths surpasses either alone, with successful applications in both qualitative and quantitative studies.
• The study replicates a 2019 project with a Fortune 500 company, showcasing LLMs as valuable collaborators in research.

Adaptive Conjoint Analysis Combining with Synthetic Data and Reinforcement Learning Approach

Working Paper

Doctor of Philosophy in Business, specialization in Quantitative Marketing

2023 - Current

University of Wisconsin-Madison, Madison, WI, USA

Marketing Research with advanced deep learning technologies for natural langage processing and computer vision.

Master of Science, Computer Sciences

2021 - 2023

University of Wisconsin-Madison, Madison, WI, USA

Focus: Machine Learning, Deep Learning for visual recognition, Operating System, Optimization, Learning based Computer Vision, Reinforcement Learning, Learning based Image Synthesis.

Bachelor of Engineering, Computer Science

2019 - 2021

Teikyo University, Tokyo, Japan

Focus: Operating System, Database System, Data structure and Algorithm, Computer Architecture, Infor- mation Security, Image processing, Computer Graphics, Information Theory, Graph Theory

Bachelor of Art, Economics

2003 - 2007

The University of Tokyo, Tokyo, Japan

Focus: Markov Chain Monte Carlo Method, Bayesian statistics, Game theory, Empirical Macroeconomics

Thesis: Estimation of volatility in Japanese equity market index by using Markov Chain Monte Carlo method

Software Engineer (Full Stack), Machine Learning Engineer

Oct 2021 - Feb 2022

Aoyama Art, Inc., Tokyo, Japan (Remote, Part-time)

• Launched and maintained the media part of titel.jp.
• Constructed new databases and an infra layer API to connect the database to the front end by a clean architecture and RESTful API.
• Installed an article recommendation system. Built the recommended article component as a template, and also created new views and handlers. Using a naive Bayesian classifier, the same classified articles are displayed as recommended articles.

Senior Product Manager / Project Leader

Jul 2020 - Jun 2021

Mercari Inc., Tokyo, Japan

• Responsible for introduction of business users into Mercari service: “Mercari Shops”.
• Developed 10 sets of public APIs with five backend engineers. Drove product vision, go-to-market strategy, and design discussions.
• Launched the new service with engineers, designers, other PdMs, lawyers, and financial specialists.

Cheif Operating Officer / Software Engineer / Product Manager

Dec 2017 - Jun 2020

Michael Inc., Tokyo, Japan

• Responsible for products' management on CARTUNE (Apps / Web) and CARTUNE Parts Market.
• Launched a new media service named "CARTUNE MAGAZINE" using Python and Google's services with two engineers and developed the UI/UX design by myself.
• Monthly active users grew from 20,000 to 2,700,000 in two years.
• Michael Inc. was acquired by Mercari Inc. in Oct 2018.

Project Leader / Product Manager

April 2016 - Nov 2017

Donuts Ltd., Tokyo, Japan

• MixChannel renewal from a short movie app to a live streaming app as a project leader with 30+ people.
• Developed the marketing strategy, and released TV commercial.
• Planned annual P/Ls and product strategies.