My research started in computational thermodynamics — connecting theory to the mechanistic understanding that drives catalyst design. In industry, that evolved into building ML models that predict thermochemical properties of formulations using creative feature engineering rooted in physicochemical principles. Most recently, using LLMs to simulate consumer panel results at scale. The through-line: using models to understand and predict complex systems.
Machine Learning & Predictive Analytics
Granted: May 24, 2022
Machine learning model for predicting properties of chemical compositions based on chemoinformatic properties and ingredient interactions.
Granted: May 24, 2022
ML-driven system for producing personal care products using chemoinformatic property prediction.
Systems and Methods for Preparing Compositions (US 10,861,588)
Granted: December 8, 2020
ML model for determining chemical composition properties from chemoinformatic inputs and experimental measurements.
Systems and Methods for Preparing a Product (US 10,839,942)
Granted: November 17, 2020
Predictive model incorporating characteristic-of-interest filtering for targeted product formulation.
Systems and Methods for Evaluating Compositions (US 10,839,941)
Granted: November 17, 2020
ML-based determination of chemical composition properties from chemoinformatic inputs.
Granted: December 24, 2019
Computer-implemented ML method predicting properties including pH, rheology, abrasivity, chemical degradation, phase change, turbidity, ingredient solubility, volatile loss, and consumer perception.
Analytical Methods
Analytical Methods Using X-Ray Absorption Spectroscopy for Quantifying Metal Ions in a Dentifrice (US 10,908,099)
Granted: February 2, 2021
XAS method for quantifying and evaluating metal ion speciation in dentifrice formulations.
Oral Care
Granted: February 22, 2022
Compositions with insoluble zinc and stannous compounds for gingivitis, plaque, and caries prevention.
Compositions and Methods for Treating Dental Caries (US 9,526,681)
Granted: December 27, 2016
Oral compositions with basic amino acid and sesquiterpene alcohol.
Antiperspirant Technology
Granted: November 6, 2018
Aluminum chlorohydrate salt with ≥50 mol% Al30 polyhydroxyoxoaluminum cation.
Antiperspirant Active Compositions and Manufacture Thereof (US 9,717,663)
Granted: August 1, 2017
Al30 polyhydroxyoxoaluminum cation as predominant species in antiperspirant actives.
Method of Making an Anhydrous Liquid Antiperspirant Composition (US 9,585,825)
Granted: March 7, 2017
Antiperspirant Active Compositions and Manufacture Thereof (US 9,539,188)
Granted: January 10, 2017
Conversion of Al13 to Al30 polyhydroxyoxoaluminum cations via controlled heating.
Aluminum Salt Containing High Percentage of Al30 (US 9,463,985)
Granted: October 11, 2016
Antiperspirant Active Compositions and Manufacture Thereof (US 9,408,789)
Granted: August 9, 2016
≥90% Al30 as predominant species detectable by ²⁷Al NMR.
Compositions Containing Polyhydroxyoxoaluminum Cations and Manufacture Thereof (US 9,174,851)
Granted: November 3, 2015
Granted: August 26, 2014
Novel delivery form using cation/zwitterion carrier with hydrogen bond donor.
Method of Making an Anhydrous Liquid Antiperspirant Composition (US 8,663,610)
Granted: March 4, 2014
Eutectic mixture carrier system for antiperspirant actives.
Granted: October 15, 2013
Aqueous formulation with basic amide/amine mixture.
Manufacturing
Granted: January 23, 2018
Method for manufacturing fluid gels with metal cation addition and pH control.
