Masatoshi Honda is an Associate Professor at Kyoto University specializing in technology innovation management. With over 10 years of experience in academia and venture capital, he has held leadership roles including Chief Strategy Officer at Virtual Smart Health Inc. and CEO of GRA&GREEN Inc. Masatoshi holds a Master of Science in Electrical Engineering from Columbia University and a Bachelor of Engineering in Materials Engineering from The University of Tokyo, with Forbes 30 U 30.

AI agent, data centers, and healthcare

Data center management and AI assurance, automated patent filling, AI avatar/doctor for palliative care

I completed a Bachelor of Commerce (Mathematics Major; Commerce & Finance Specialist) at University of Toronto in 2011 and a Master of Financial Economics at University of Toronto in 2012. Since then, I've been working at Royal Bank of Canada (in Toronto, ON, Canada from 2013 to 2020; in Jersey City, NJ, US from 2020 to the present), developing quantitative models for economic outlook, stress testing, and credit impairment. I like playing the piano, watching ballet, listening to classical music, and travelling.

1. Develop the global macroeconomic model and investment models, by combining large language models with macroeconomic/investment models (foundation models) 2. The most advanced AI technologies in each field, especially Finance, Economics, Medicine, and photonic quantum computing

Develop the global macroeconomic model and investment models

Full‑stack Software Engineer with a strong background in analytics, passionate about building AI‑powered web applications that transform data into insight. Currently leading the development of Bazookanator at The Bazooka Companies, a sales analytics platform that converts Excel files into interactive dashboards and reports. Built with TypeScript, React, and Next.js, Bazookanator is evolving with LangChain‑powered SQL agents that enable users to ask natural‑language questions about their data and receive precise, real‑time answers. The project has streamlined reporting workflows and reduced manual data analysis time across departments. Outside of code, I co‑run TechWalks NYC, a community walking meetup for people in and around tech, and keep myself moving by running through Brooklyn. Alwa

Currently working on a full stack application that automates financial reporting using AI and visualizes it using a Javascript library

Mukul Gupta is a data professional with over three years of industry experience in data engineering, AI, and software development. He is currently pursuing a Master’s in Data Science at the University of Maryland, maintaining a 4.0 GPA. Mukul has held impactful roles at companies like A.P. Moller – Maersk, Neudesic (an IBM Company), and MAQ Software, where he developed robust data pipelines, implemented large-scale analytics solutions, and contributed to cloud-native projects using technologies like Spark, Databricks, ADF, and PySpark. He holds Microsoft certifications in Data Engineering (DP-203) and AI (AI-102) and has a strong interest in combining AI with real-world applications, such as mental health tools and financial analytics.

I’m passionate about large language models (LLMs), retrieval-augmented generation (RAG), and data science, with a strong focus on model training and scalable system architecture. I’m eager to deepen my knowledge in advanced data engineering and collaborate with professionals developing innovative, real-world AI solutions.

I'm building a therapist chatbot by fine-tuning an open source large language model on psychological literature and clinical case studies. The chatbot is designed to serve two key purposes: assist mental health professionals with intelligent, context-aware insights, and provide 24/7 emotional support to individuals in situations where professional help may not be immediately accessible.

I’m a fourth year student at UVA interning at Capital One interested in AI, Fintech, and blockchain.

I am interested in solving interesting problems with a high level of customer involvement. I am interested in fintech and blockchain but am happy to work across fields.

An AI travel agent that can create fleshed out itineraries complete with hour by hour detail to keep travelers on track especially when public transit is a concern. Hotel are automatically suggested and the user can keep searching until they find the right one. With AI travel sense, no more guessing where the best place to be situated in the city is. The AI will let the user know the pros and cons of each area and work to their preferences and budget to pick the right place.

experienced data scientist building AI/GAI models that improve investment decision making.

I am interested in developing AI/GAI tools for investment and financial services space.

developing AI trading applications and quant research assistants.