I'm an AI Researcher who is
Chief Data Scientist and Cofounder at AI Squared.
As an accomplished data science leader, researcher, and startup co-founder, I specialize in advancing AI research, developing cutting-edge technologies, and deploying machine learning solutions. My work spans explainable artificial intelligence, deep learning, machine learning optimization, and human-machine collaboration.
Duties at AI Squared
I am the Chief Data Scientist and Cofounder at AI Squared. In this role, I help lead the development of the company's AI platform and its browser-based integration technologies. I've led R&D initiatives to advance generative AI models, including creating custom LLMs and contributing to the BeyondML project, which was released as open-source to the Linux Foundation Data and AI.
Duties at Capitol Technology University
At Capitol Technology University, I serve as Adjunct Faculty, mentoring PhD students in AI research and teaching undergraduate courses like CS-150. My research focus includes generative AI, transformer models, and their applications to fields like agriculture. I also serve as an external examiner for dissertation defenses and support the development of doctoral research in AI.
Open Source Projects
Over the years, I've contributed to and created multiple open-source projects. Some highlights include:
Education
I hold a PhD in Technology from Capitol Technology University, with a focus on Explainable AI. My dissertation explored linear regression feature engineering in classification trees. Additionally, I have a Master of Science in Business Analytics from the University of Maryland, and a Bachelor of Science in Mathematics from the same institution.
Selection of Talks and Publications
- Jacob Renn and Ian Sotnek (2023, June 26-29). "D-Lite: Integrating a Lightweight ChatGPT-Like Model Based on Dolly into Organizational Workflows" [Conference session]. Data+AI Summit 2023, San Francisco, CA, United States.
- Jacob Renn and John Daly (2022, October 17-19). "Using Artificial Intelligence to Enrich Experiences in the Metaverse" [Conference session]. O3DCon 2022, Austin, TX, United States.
- Jacob Renn and John Daly (2022, October 17-19). "Multitask Machine Learning and its Applications to the Metaverse" [Conference session]. O3DCon 2022, Austin, TX, United States.
- Ian Sotnek and Jacob Renn (2022, June 27-30). "Unifying Data Science and Business: Artificial Intelligence Augmentation and Integration into Production Business Applications" [Conference session]. Data+AI Summit 2022, San Francisco, CA, United States.
- Jacob Renn and Ian Sotnek and Benjamin Harvey and Brian Caffo (2022). "The Multiple Subnetwork Hypothesis: Enabling Multidomain Learning by Isolation Task-Specific Subnetworks in Feedforward Neural Networks" [arXiv preprint].
- Jacob Renn (2022). "Linear Regression Feature Engineering in Classification Tree Learning" [Dissertation]. Capitol Technology University, Laurel, MD, United States.