Nicholas A. Email & Phone Number
Who is Nicholas A.? Overview
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Nicholas A. is listed as Principal Data Scientist at Bayer Crop Science, a with 92872 employees, based in Ballwin, Missouri, United States. AeroLeads shows a matched LinkedIn profile for Nicholas A..
Nicholas A. previously worked as Principal Data Scientist at Bayer and Senior Data Scientist at Bayer Crop Science. Nicholas A. holds Doctor Of Philosophy (Ph.D.), Molecular Genetics And Plant Breeding from University Of Minnesota.
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About Nicholas A.
I’m passionate about transforming complex datasets into clear insights that address real business challenges, all while effectively managing projects from conception to completion. With a solid background in data science and a PhD-driven approach, I thrive at the intersection of domain knowledge, statistical analysis, and effective communication, ensuring that technical solutions are not only innovative but also aligned with stakeholder needs.Throughout my career, I’ve successfully led a variety of projects that utilize stochastic simulation and machine learning to enhance decision-making processes in plant breeding. I see breeding as a multifaceted game of chance, where I’ve taken on diverse roles, including product owner, subject matter expert, coder, and communicator. This combination of skills allows me to manage projects efficiently, facilitating collaboration among cross-functional teams and ensuring that everyone is on the same page. By streamlining discussions and quickly ruling out non-viable options, I drive productive outcomes and keep projects on track.In my recent work, I’ve focused on AI/ML-assisted breeding decisions and optimizing data pipelines. By collaborating closely with data engineers and other stakeholders, I guide the development of internal modeling tools that accurately reflect production realities, reducing the impact of artifacts and modeling errors. I find great fulfillment in building scalable solutions that simplify operational management, ultimately enhancing project efficiency and effectiveness.As a dedicated data scientist, I firmly believe in the importance of distilling large amounts of data into actionable information. My success is measured by my ability to ensure that clients and project owners can easily understand the insights I provide. I take pride in my project management skills, which help me balance technical requirements with stakeholder expectations. By combining my expertise in data science, programmatic thinking, and clear communication, I empower teams to make informed decisions that lead to successful outcomes.Ultimately, I am driven by the desire to create tools and processes that not only enhance productivity but also foster a culture of data-driven decision-making. I look forward to taking on new challenges where I can leverage my skills to make a meaningful impact.
Nicholas A.'s current company
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Nicholas A. work experience
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Senior Data Scientist
Principal Data Scientist
Helped to lead a team of data scientists on multiple projects (ML and Domain Specific) related to business-critical transformation of our genetically enhanced product pipeline. Assessed both scientific, logistical, and business-related issues related to soy and maize transformation and portfolio performance for growers and our commercial pipeline.
Senior Data Scientist
Focused on stochastic simulation and MCMC modeling of the breeding portfolio under considered process changes and resource adjustments. Allocated resources based on data-driven insights gathered from stochastic simulations and pipeline analysis. Identified optimal placement of germplasm using genetic profiling and ML/Non-linear modeling. Served as liaison to stakeholders, managing strategy development and client expectations.
Plant Breeding And Pipeline Design Data Analyst
Research Fellow-Lab Of Rex Bernardo
I worked on a large dataset of Monsanto provided data that as provided to the Bernardo lab from between 2001 and 2008. This dataset of 1000 evaluated populations has previously been evaluated for optimizing different styles of training data for use in genomewide selection.My work in this data was twofold: The first is analysis of environmental data to establish patterns of removal. Essentially asking, is it possible to know a priori which environments will yield effective data and is it possible to obtain genomewide prediction accuracy with less data used? The ability to effectively target only previously stable environments would allow cost saving measures to be used in breeding programs, freeing up valuable resources that could be diverted to other projects.The second part of my project is the use of environmental variables gathered from public resources to effectively predict both environmental effects as well as establish whether we can successfully predict genome by environmental effects in any meaningful way. This means marrying two high dimensional data sets (marker and environmental covariates) in a way that is both high throughput, computationally feasible, and predictively meaningful.
Teaching Assistant
Teaching Assistant for AGRO 1103: Crops, Environment, and SocietyTaught plant identification and agricultural utility to a lab section of 25 studentsCo-wrote tests and quizzes with the instructor and graded assignmentsGuided students in field exercises and crop walksTaught one lecture on public policy, law, and genetically modified organisms
Graduate Fellow
My work in the Muehlbauer lab primarily focused on a collection of wild barley called the Wild Barley Diversity Collection (WBDC). This collection of germplasm, selected from the collection held at ICARDA is meant to represent the broad range of geographical and genetic area covered by wild barley across the Middle East and into Central Asia.My field of focus was on the powdery mildew resistance of this particular collection, genes that might be identified, and geographical areas of future sampling that might be sources of more wild resistance in the future. We identified new genetic regions for future study, but more particularly, identified lines with broad resistance to many different races, indicating a robust resistance to powdery mildew generally, rather on a specific race-by-race basis.This project involved intensive coding as well as familiarity with ArcGIS which was later to prove useful in my dissertation work. The primary reason for this being that we were dealing with 40 different phenotypes (each being a seperate race of powdery mildew the barley was tested with). This project also involved personal experience with powdery mildew in the greenhouse, testing, and evaluation of barley pathology. Population studies in Barley, Pathology, GWAS, Diversity Panel, R coding, ArcGIS, Geographic Analysis, Greenhouse Inoculation, SAS, Publication: http://onlinelibrary.wiley.com/doi/10.1111/ppa.12384/abstract
Visiting Scientist
I was given the opportunity to intern at KWS for a summer by my advisor to both further my dissertation work as well as gain valuable skill implementing code in a professional setting.My duties at KWS primarily were involved with implementing methods previously established in my work with the Monsanto data set, primarily investigating climactic variables, building a matrix of response variables for a number of environments, and then estimating our ability to predict environmental effects for a given hypothetical (or real) location-time environment.During this time, I worked with a number of datasets, including corn and sugar beet to establish that my method of environmental classification worked on a number of crops, and was not limited by the data structure previously associated with the Monsanto dataset.I also performed a number of introductory field duties that helped me gain familiarity with field breeding in sugar beets, and participated in a number of internal business presentations, as well as a field breeders informational meeting. I also made sure that the project was well documented and could be continued at the company's leisure after I left.
Undergraduate Research Assistant
My responsibilities in the Whipple lab included PCR and chromosome walking using CAPS markers in search of the Vg1 (vestigial glume) gene, which is a dominant mutation. This included PCR, Restriction enzyme identification and ordering, and gel electrophoresis. Duties also included more in depth phenotyping of the segregating population that contained the Vg1 gene and specifically off-target phenotypes such as leaf width, length, development and senescence changes.
Librarian
Managed Intralibrary lendingDatabase management, Excel heavy autofilling and merging. Management of a team and route planning optimization.
Undergraduate Research Assistant
During this research work, I performed basic tasks for the Jellen lab. I prepared and performed PCR on a semi-daily basis. I also processed and performed DNA extractions for Felix Jimenez's work on the Amaranth populations. My duties also included preparation for cell flow cytometry, and I was also exposed to conceptual processes and theory during the development of recommendations for rescuing Amaranth from its status as an orphan crop.
Colleagues at Bayer Crop Science
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Łukasz Troiński
Colleague at Bayer Crop SciencePoland
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Anke De Landtsheer
Colleague at Bayer Crop ScienceBrussels Metropolitan Area, Belgium
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Marcel Lübbers
Colleague at Bayer Crop ScienceGdańsk, Pomorskie, Poland
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Jason Thumann
Colleague at Bayer Crop ScienceMuscatine County, Iowa, United States
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Nicole Dinello
Colleague at Bayer Crop ScienceFurlong, Pennsylvania, United States
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Marta Torres
Colleague at Bayer Crop ScienceGreater Barcelona Metropolitan Area, Spain
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Abby Shalekbriski
Colleague at Bayer Crop ScienceSt Louis, Missouri, United States
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Zuhaib Beigh
Colleague at Bayer Crop ScienceSrinagar, Jammu & Kashmir, India
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张爱云
Colleague at Bayer Crop ScienceQuanzhou, Fujian, China
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Franco Puccio
Colleague at Bayer Crop ScienceBuenos Aires, Buenos Aires Province, Argentina
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Nicholas A. education
Doctor Of Philosophy (Ph.D.), Molecular Genetics And Plant Breeding
Master'S Degree, Molecular Genetics And Plant Breeding
Bachelor Of Science (Bs), Plant Genetics
Frequently asked questions about Nicholas A.
Quick answers generated from the profile data available on this page.
What company does Nicholas A. work for?
Nicholas A. works for Bayer Crop Science.
What is Nicholas A.'s role at Bayer Crop Science?
Nicholas A. is listed as Principal Data Scientist at Bayer Crop Science.
Where is Nicholas A. based?
Nicholas A. is based in Ballwin, Missouri, United States while working with Bayer Crop Science.
What companies has Nicholas A. worked for?
Nicholas A. has worked for Bayer, Bayer Crop Science, University Of Minnesota, Kws Group, and Brigham Young University-Whipple Lab.
Who are Nicholas A.'s colleagues at Bayer Crop Science?
Nicholas A.'s colleagues at Bayer Crop Science include Łukasz Troiński, Anke De Landtsheer, Marcel Lübbers, Jason Thumann, and Nicole Dinello.
How can I contact Nicholas A.?
You can use AeroLeads to view verified contact signals for Nicholas A. at Bayer Crop Science, including work email, phone, and LinkedIn data when available.
What schools did Nicholas A. attend?
Nicholas A. holds Doctor Of Philosophy (Ph.D.), Molecular Genetics And Plant Breeding from University Of Minnesota.
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