Kirk Simmons, PhD

Kirk Simmons, PhD

Organic chemist with 20+ years experience in cheminformatics
United States
English
Academic affiliation

Organic chemist with 30+ years in crop protection at three organizations. Background in statistical experimental design, cheminformatics and property predictions. Contributed to the development of machine-learning based models whose application to compound acquisition improved high-throughput screening hit-rates.

Individual
Company

Skills

Lead optimization
Analog design
AI/ML/NN
Physchem property prediction
Statistical analysis
Crop science & agrochemicals
High throughput screening
Hit to lead

About

Organic chemist - 20+ years experience in cheminformatics.A senior-level research scientist with a broad experience in discovery research and over 20 years of experience in cheminformatics and predictive modeling. Throughout my career I have consistently applied statistical methods to projects and possess a strong skill set in data analysis and data mining. My key strengths are a background in organic chemistry, strong background in data modeling (QSAR/QSPR), experienced in predictive modeling/data mining of HTS data, a willingness to step into new roles outside my formal education with an ability to deliver results in those endeavors.

Work experience

Principal

Company:
Simmons Consulting
Duration:
Jan 2008
-
present

Providing consulting services in cheminformatics - similarity and diversity analysis of chemistry, clustering of chemistry. Development of structure-activity relationships to guide further activity optimization. Physical property predictions of chemistry - logP, logS, logVp to facilitate transport.

Senior Research Associate

Company:
DuPont Crop Protection
Duration:
Jan 2000
-
Jul 2007
present

Provided computational chemistry support to project teams, developed machine-learning methodology to support compound acquisition. Resulting models provided a five-fold boost in hit-rate in the primary screens over historical hit-rates.

Team Leader - Cheminformatics

Company:
FMC Corporation, AgChem Division
Duration:
Jun 1984
-
Jan 2000
present

Initiated the application of machine-learning to compound acquisition for the crop protection group.

Education

University of Southern Indiana

Degree:
B.A. in Chemistry
Year of degree awarded:
1976

University of Illinois

Degree:
Doctorate in Organic Chemistry
Year of degree awarded:
1980

Publications

Case STUDIES

Application of Machine Learning to Compound Acquisitions

Lead a group of scientists in exploring various machine learning methods and various chemical descriptors to evaluate the effectiveness of enhancing high-throughput screening hit-rate in the area of crop protection.