Accomplished Maize Breeder at ICAR and Graduate Research Assistant at Utah State University, adept in genomic selection and deep learning for crop improvement. Excelled in collaborative research, yielding significant advancements in maize product development. Skilled in analytical thinking and teamwork, effectively communicated complex findings, enhancing academic and industry partnerships. Demonstrated proficiency in data analysis and plant breeding methods, driving innovation in agricultural research.
Overview
13
13
years of professional experience
Work History
Graduate Research Assistant
Utah State University
01.2020 - Current
Implemented genomic selection to predict salinity tolerance in maize.
Explored Deep Learning algorithms to improve prediction accuracies for salinity tolerance in maize.
Studied transcriptomics landscape to learn acclimatization for salinity stress in maize seedlings.
Genome-wide association study to identify novel loci associated with salinity tolerance in maize.
Presented research findings at conferences and workshops, fostering professional growth and collaboration.
Developed comprehensive reports, effectively communicating complex research findings to diverse audiences.
Conducted rigorous experiments using cutting-edge tools and equipment to test hypotheses and validate theories.
Maize Breeder
Indian Council of Agricultural Research
04.2011 - 12.2019
Designed, developed, and implemented a hybrid breeding program in maize.
Conducted and directed field evaluations of pre-commercial hybrid candidates and monitored multi-location trials for yield and disease resistance traits.
Extensive in-field observations to develop a deep understanding of the germplasm and product to support data-based decision-making.
Interacting with research partners in planning field testing of experimental hybrids, nursery operations, product design, advancing segregating generations, and making on-site selection of desirable genetic material.
Building and communicating a thorough resource plan each year that incorporates logistics and operational requirements.
Designing strategies for experimental design, data collection, and prioritizing resources to meet the changing needs of the breeding program.
Developing cross-functional partnerships with plant health specialists, germplasm donors, and domain experts to formulate technical strategies and solve technical problems.
Attending events with growers and industry partners to identify customer needs, and bring customer centricity into the program.
Education
Ph.D. - Genetics And Genomics
Utah State University
Logan, UT
07.2024
Skills
Teamwork and Collaboration
Analytical Thinking
Self-Directed and Motivated
Conference Presentations
Data analysis: GxE interaction, heritability, Deep Learning, basic machine learning methods, analysis of multi-location trial data, GWAS, combining ability analysis, transcriptomics, and linkage mapping
Developed hundreds of novel maize inbred lines in different maturity groups (many registered).
Developed an inbred line VS143 with very high productivity and combining ability. It is serving as one of the parents of several outstanding pipeline hybrids showing superiority to the best checks.
Codeveloped more than 10 maize hybrids which were released by the national varietal release committee and at least two of them are under the seed production chain with an increasing growers demand.
Led a trait introgression program to combine kernel tryptophan and methionine traits. Developed novel inbred lines in this program.
Implemented new experimental designs (alpha-lattice) and data collection tools (field book) in the program.
Explored advanced plant breeding methods such as Genomic Selection and Deep Learning to improve the efficiency of the selection process.
Professor Universitário at Utah State University (Universidade Estadual de Utah)Professor Universitário at Utah State University (Universidade Estadual de Utah)