Singh Soybean Breeding GroupResearch Tasks:•Collaborated with multi-disciplinary team to utilize computer vision techniques for breeding applications•Led team of ~10-15 team members in multi-location field research experimentation•Collection and processing of remote sensing and UAV data for use in ‘omic studies•Deployed Random Forest algorithm to identify key traits driving grain yield for use in phenomics assisted breedingSkills Learned:•Communication and leadership of inter-disciplinary teams Integrated machine learning using R for breeding pipeline to optimize operation efficiency•Organization and planning of resources for data collection and breeding trial setup of multiple projects•Managed efficient data processing and statistical pipeline (> 1 million data points)•Integrated machine learning using R for breeding pipeline to optimize operation efficiencyAwardsISU Graduate College Emerging Leader Academy Selected Student 2018(One of 20 students selected across ISU)Phenome Conference Invited Lightning Speaker and Travel Award Winner 2018(One of two graduate student speakers invited among +25 speakers)NIFA USDA Data Driven Ag Graduate Student Travel Award Winner 2018(Think tank workshop to propose policies for big data in agricultural research)Texas A&M Plant Breeding Symposium Invited Graduate Student Speaker 2018(Could not attend due to unforeseen circumstances)Iowa State University Plant Breeding Symposium Invited Graduate Student Speaker 2018(Sole graduate student invited from ISU)Purdue University Graduate Student Scholarship Travel Award 2017(One of two to receive award)OSU Frank Johnson Memorial Scholarship 2014National Corn Growers Association Scholarship 2013

Undergraduate Research Assistant- OSU Wheat BreedingResearch Tasks:•Coordinated team members in crossing block to generate > 750 crosses in development of new breeding progeny•Implemented testing infrastructure for multi-location field and greenhouse disease screeningSkills Learned:•Planning research task according to plant phenology and organization of crossing block efforts•Data analytic techniques to fuse field and lab phenomic data to support advancement decisions

Research Tasks:•Evaluation of a novel experimental design and its improvement on data quality and field testing efficiency•Phenomic characterization of novel transgene events using a wide-array of metabolomic, genotypic, and phenotypic protocolsSkills Learned:•Trained in JMP software to conduct comparative analysis and presentation of results in a corporate setting•Familiarized with data driven decision making process of transgenic event advancement decisions