Steven Johnson Email & Phone Number

Chesterfield, Missouri, United States

Chesterfield, Missouri, United States

Responsible for leading and setting the strategic vision for leveraging computer vision and data driven decisions for the Plant Biotechnology testing pipeline.

St Louis, Missouri, United States

Responsible for the development and leadership of a data science team focusing on the application of computer vision and analytical models to Bayer Crop Science’s early testing pipelines.

Greater St. Louis Area

Responsible for recruiting, developing, and leading the data science team uncovering insights in Field, Controlled Environment, and Insect Control trials.

Chesterfield, Missouri

Responsible for recruiting, developing, and leading the data science team uncovering insights in Field, Controlled Environment, and Insect Control trials.

Chesterfield, Missouri

Leading Monsanto's data science team utilizing Monsanto's considerable controlled environment resources to better understand plant physiological responses.

Greater St. Louis Area

Performing data science analyses on environmental and genetic interactions affecting field crop traits utilizing linear modelling and machine learning techniques.

Greater St. Louis Area

(positioned at Monsanto)Responsible for • Next-generation sequencing analysis pipeline development. • Designing and implementing custom software tools to uncover novel biological features from next-generation sequencing data.• Providing statistical analysis, results interpretation, and experimental design of next-generation sequencing experiments for research groups across Monsanto’s organization.• Providing a "bridge" between computational and experimental biologists.

Greater St. Louis Area

• Utilized high-throughput sequencing and custom microarrays to identify novel transcripts and post-transcriptional modifications which redefined our understanding of the genetics of a DNA tumor virus.• Created custom software allowing the identification of numerous novel post-transcriptional modifications from RNA-seq data. • Developed novel methods of candidate validation by combining molecular biology, next-generation sequencing technology, and custom analysis software to streamline experiments and reduce cost. • Designed and guided functional genomic and mechanistic experiments of novel genes and genetic features.• Utilized comparative genome visualization software, with SQL backend databases, to improve collaborative communication with bench scientists.• Established and maintained the compute infrastructure required for high-throughput sequencing analysis and data storage

Greater St. Louis Area

Improved protein database searches by developing algorithms for hidden Markov models (HMMER) in a Linux high-performance computing environment.• Designed and implemented speed heuristic and iterative search algorithms for hidden Markov models that increased speed and sensitivity of remote protein homology detection.• Developed a probabilistic model of non-coding snoRNA:target binding and identified from sequencing data that archael snoRNAs exist in circularized form in archaea.• Contributed to the identification and annotation of non-coding RNAs in the human and mouse genome projects.

Urbana-Champaign, Illinois Area

• Generated protein chimeric constructs to refine the role of agrin protein domains in neuromuscular synapse development. • Performed domain-mapping experiments to identify the protein motif involved in the binding of agrin to heparin and alpha-dystroglycan.

• Developed a novel PCR-RFLP assay that was used in a multi-state survey of genetic diversity in freshwater sport fish throughout the Midwest and Northeastern United States.

Togo

• Trained Togolese farmers in basic biological concepts and animal vaccination.

Doctor Of Philosophy (Phd), Computational Biology

Bachelor'S Degree, Biology