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

From Match to Impact: Driving Ad Effectiveness in Micro Influencer Marketing Platform

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.