John Cameron Email & Phone Number

Davis, California, United States

Designing studies, creating novel optimization models, and publishing on how to optimize targeted recombination in elite genomic prediction hybrid maize breeding.

Davis, California, United States

• NGS Bioinformatics in autotetraploid alfalfa- SNP discovery pipeline development and implementation using a Bayesian beta-binomial model for allele dosage calling- RNAseq raw data analysis pipeline development.
• Quantitative Genetics in autotetraploid alfalfa- Genome-wide association, validation and deployment of SNP markers for Anthracnose Race 5 resistance- Reference genome sequence extraction and SNP annotation for KASP.
• Intellectual Property Protection of commercial alfalfa varieties- Power analysis of parentage determination with respect to genetic distance, allele number, marker density, signal:noise and likelihood of odds.
• Genetic Simulation for alfalfa breeding- Sample size determination in synthetic populations based on genetic distance- Machine learning and Bayesian modeling to optimize genome coverage, training set and pedigree.
• Experimental Design & Phenotypic Analysis- Field trial design to control for spatial heterogeneity in regulated field trials- Custom and broad-based mixed model analysis (BLUP) of forage yield and forage quality to.

Davis, California

• Combinatorics for alfalfa synthetic (Syn1) design- Multi-objective optimization of population design, subject to trait purity requirements, implemented with an integer programming model and solved using a genetic.
• Production Genotyping & Decision Support Tools- Development of analysis pipeline and ShinyR app for genotype calling using qPCR and KASP outputs and machine learning (i.e. multinomial logistic regression, mixture.
• Open Source Software Solutions- Low-cost and dynamic ShinyR server platform implementation on Linux- Application development and hosting for data visualization and analytics

Ames, Iowa

• Carried out studies applying tools from applied mathematics to design optimized genetic improvement projects, with respect to minimizing the costs necessary and maximizing the probability of achieving a set of breeding.
• Modeled single and multi-allele introgression as multi-objective optimization challenges seeking to minimize cost and maximize the probability of meeting the project goals. Collaborated with operations researchers to.
• Developed simulations implementing optimization algorithms in R, Matlab, and C++ to analyze the stochastic processes, and to obtain complex conditional probability estimates. Used a cloud computing service to run the.
• Served as a liaison between operations researchers and sorghum breeders to implement a novel parental selection algorithm in a gene stacking program
• Analyzed methods for efficacy in carrying out Genome Wide Analysis for the soyNAM project
• Took phenotypic field notes on soybean lines for the soyNAM project

Mulanje, Malawi

• Implemented agricultural improvement projects: erosion control of hillside farming, fruit tree grafting, and crop diversification
• Started small businesses to add value to agricultural products in villages surrounding Mt. Mulanje
• Initiated public health projects for water purity, child nutrition, and HIV prevention
• Wrote grants to obtain funding to support the expansion of local bee keeping operations

Madison, Wisconsin Area

• Carried out vitamin B1, Sucralose and Vitamin C assays to validate content level claims of manufacturers

Madison, Wisconsin Area

• Carried out assays evaluating the nutritional content of cool season pasture grasses
• Maintained and harvested forage research plots around the state of Wisconsin

Phd, Plant Breeding, Minor In Statistics, 3.78

Activities and Societies: Agronomy Club member Plant Breeding Symposium Planning Committee memberCarried out studies applying tools from.

Bachelor Of Science (Bs), Botany/Plant Biology, 3.1

Activities and Societies: Botany ClubStudied botany, genetics, calculus, physics, statistics, chemistry, organic chemistry. Senior thesis.