Tootfinder

AI for Sustainable Future Foods
Bianca Datta, Markus J. Buehler, Yvonne Chow, Kristina Gligoric, Dan Jurafsky, David L. Kaplan, Rodrigo Ledesma-Amaro, Giorgia Del Missier, Lisa Neidhardt, Karim Pichara, Benjamin Sanchez-Lengeling, Miek Schlangen, Skyler R. St. Pierre, Ilias Tagkopoulos, Anna Thomas, Nicholas J. Watson, Ellen Kuhl
https://a…

AI for Sustainable Future Foods
Global food systems must deliver nutritious and sustainable foods while sharply reducing environmental impact. Yet, food innovation remains slow, empirical, and fragmented. Artificial intelligence (AI) now offers a transformative path with the potential to link molecular composition to functional performance, bridge chemical structure to sensory outcomes, and accelerate cross-disciplinary innovation across the entire production pipeline. Here we outline AI for Food as an emerging discipline tha…

Missing value imputation with adversarial random forests -- MissARF
Pegah Golchian, Jan Kapar, David S. Watson, Marvin N. Wright
https://arxiv.org/abs/2507.15681

Missing value imputation with adversarial random forests -- MissARF
Handling missing values is a common challenge in biostatistical analyses, typically addressed by imputation methods. We propose a novel, fast, and easy-to-use imputation method called missing value imputation with adversarial random forests (MissARF), based on generative machine learning, that provides both single and multiple imputation. MissARF employs adversarial random forest (ARF) for density estimation and data synthesis. To impute a missing value of an observation, we condition on the no…

Early galaxy evolution: The complex interstellar medium distribution of the z~7 galaxy A1689-zD1
Kirsten K. Knudsen, Darach Watson, Johan Richard, David T. Frayer, Seiji Fujimoto, Hollis Akins, Tom Bakx, Nina Bonaventura, Gabriel Brammer, Lise Christensen, Takuya Hashimoto, Akio K. Inoue, Hiroshi Matsuo, Micha{\l} J. Micha{\l}owski, Jorge A. Zavala
https://

Early galaxy evolution: The complex interstellar medium distribution of the z~7 galaxy A1689-zD1
We observed the gravitationally lensed ($μ= 9.6\pm0.19$) galaxy A1689-zD1 at $z = 7.1$ in bands 3, 6, and 8 of the Atacama Large Millimeter/submillimeter Array. These high-resolution observations ($\approx 200$ pc) enabled us to separate the source into five components in the [CII] 158$μ$m and [OIII] 88$mu$m emission lines within a projected distance of 2 kpc. Even though these components appear to vary strongly from one another in both their line, continuum, and optical characteristics, the …

Technical Implementation of Tippy: Multi-Agent Architecture and System Design for Drug Discovery Laboratory Automation
Yao Fehlis, Charles Crain, Aidan Jensen, Michael Watson, James Juhasz, Paul Mandel, Betty Liu, Shawn Mahon, Daren Wilson, Nick Lynch-Jonely, Ben Leedom, David Fuller
https://arxiv.org/abs/2507.17852

Technical Implementation of Tippy: Multi-Agent Architecture and System Design for Drug Discovery Laboratory Automation
Building on the conceptual framework presented in our previous work on agentic AI for pharmaceutical research, this paper provides a comprehensive technical analysis of Tippy's multi-agent system implementation for drug discovery laboratory automation. We present a distributed microservices architecture featuring five specialized agents (Supervisor, Molecule, Lab, Analysis, and Report) that coordinate through OpenAI Agents SDK orchestration and access laboratory tools via the Model Context Prot…