Recognized as a Bayer Science Fellow (Jan 2023). I continue to innovate AI models to ensure customer-centric product development decision making, especially in global corn breeding pipelines. I led multiple POCs that resulted in new models to ensure we select top quality, high valued products that meet the needs of our customers and to be competitive in commercial markets. I co-created new data workflows that stitch previously partitioned data sources and inferences. I collaborated with data engineering teams to trial AWS SageMaker as a data science discovery platform, helping to influence data science teams beyond Breeding, into our Enterprise teams to adopt the platform for all data science/engineering teams in our Crop Science division. I managed a data science contractor to aid me in training and delivering some of my prior projects, allowing me additional innovation time. I mentored junior colleagues on the job and in our global mentoring network. I mentored university students through our Bayer4U program and high school students through Spark! Technology Solutions at Parkway School District. I lead by example and influence to support a culture of data science best practices. I was invited for career talk at the physics conference: American Physical Society March Meeting, highlighting my experience at Bayer.

Stemming from my impact in my prior role, I led technical development of projects through project planning and coordination in a team of teams environment. I was a primary technical expert in starting Bayer's external collaboration with AbacusBio and helped teams to create the first bioeconomic indices uesd in our North American corn product development breeding pipelines. I organized teams in GitHub and Domino Data Lab to create lasting models (still used today) coordinated between teams in Scotland, USA, and New Zealand. I coordinated utilization of genotypic, phenotypic, environment, geospatial, market, and consumer survey datasets. The project helps ensure our breeding pipelines move the highest value seeds to market. I brought innovatation to our corn product development breeding pipeline predictive and prescriptive models, generating new data science intellectual property. I promoted a culture of data science best practices, including the deployment of a scientific and technical peer review system started in my prior role. I was a corporate mentor to undergraduate and graduate students in Purdue University's Data Mine corn yield prediction course. Providing genotype and phenotype datasets, students brought in environmental datasets to generate genotype by environment prediction models of corn yield. I also mentored early career academics at Purdue University.

I trained, delivered, and supported usage of prediction & prescription models for product development decisions in corn Breeding pipelines.I led a contractor to co-create deep learning and clustering models, leveraging independent steps for dimensionality reduction (deep learning model) for additional uses, separate from clustering models for our primary goal, to define population structure of corn. The latent space generated from the deep learning model was used in other projects, beyond our population structure modeling. The models we trained were use in identifying genetically similar parents, heterotic clusters that help in creating new inbreds (within gender pools) and hybrids (between gender pools).I trained product development prediction models used in corn silage inbred advancement decisions.I found new ways to build inbred advancement prescriptive models to better support decision making in corn product development, beginning major impacts for Monsanto/Bayer's largest markets, North America corn by optimizing new seed products suitable to commercial markets.I co-created a best practices framework for internal tech review and peer review methods and consulted on other data science best practices still in use within our data science community in Breeding.

Acquired by Bayer in summer 2018, this is the same role as my data scientist role for Bayer.

I developed models and software to discover novel mutations that predispose or cause cancers in humans. I started with Pindel2BAM, converting Pindel results (insertion and/or deletion events) into the more common BAM format for greater use in downstream analyses and exploration.I introduced clustering to HotSpot3D to identify potentially cancer-causing mutations based on mapping onto protein structures. We could detect interactions intra-protein, inter-protein complexes, and even druggable sites. This work also led to HotPho to identify post-translational modification sites, especially phosphorylation sites potentially disrupted by mutations in proximity on protein structures. I worked on javascript frontend and PHP backend capabilities for this and other projects, especially a "phone home" feature in GenomeVIP to provide us with information how researchers utilized the site. I created CharGer to automate characterization of germline variant clinical pathogenicity based on clinical prioritization indicators from annotation and modeling evidence.I co-wrote grants and helped acquire funding for bringing in a new postdoc. I guided undergraduates and graduate students on projects and helped introduce the lab to more effectively utilize GitHub.

Dissertation: Speciation Dynamics of an Agent-based Model in Phenotype Space.My dissertation focused on characterizing phase transition behaviors of the agent-based model dynamics at multiple levels of selection. As part of my own work, I created a modeling and analysis framework to quickly set up and run simulation experiments that has been used for over 10 years by students in the Bahar lab. I identified a clustering metric as an observable that served a role in measuring population-level behaviors, speciation states, that we could use to characterize the phase transition behavior. I identified observable measurements of evolution behavior at both individual and species-levels through various models of branching-coalescing events. I also brought in time to most recent common ancestor measurements as a way to explore temporal behaviors in our model. Each of these observables combine to estimate the universality class of non-equilibrium phase transition behaviors controlled by the mutability of individuals.- https://github.com/AdamDS/BCRW_Phenotype_Evolution (framework in MATLAB)- https://github.com/AdamDS/EvoSim (C++ attempt)As part of my exploration of projects, I studied synchrony dynamics in biological neural networks. I conducted experiments of neocortical, ketamine-induced seizures (synchronized neuron firing in vivo) in a rat model by capturing digital images sensitive to oxygenation. I then analysed the images in concert with mean field electric probes to characterize synchronization forming and dissipating events. I investigated the synchrony dynamics of the Huber-Braun biological neural network model in computational simulations. I also attended a workshop on the Neuron software at University of California - San Diego.I built multiple desktop computers from scratch for the lab to run simulations locally. To do this, I worked within a designated budget to identify parts and then assembled the hardware and installed necessary OS and software.

Electricity & Magnetism review, Summer 2011Basic Physics (Electricity, Magnetism, Optics) lab for non-majors, Summer 2011Electricity, Magnetism, and Optics lab for majors, Spring 2010Electricity, Magnetism, and Optics discussion for majors, Spring 20102x courses of Electricity, Magnetism, and Optics lab for majors, Fall 2009Basic Physics (mechanics) lab for non-majors, Fall 20093x courses of Basic Physics (Electricity, Magnetism, Optics) lab for non-majors, Summer 20092x courses of Basic Physics (Electricity, Magnetism, Optics) lab for non-majors, Spring 20092x courses of Basic Physics (mechanics) lab for non-majors, Fall 20083x courses of Electricity, Magnetism, and Optics lab for majors, Summer 2008

I was a private tutor in physics for high school and undergraduate students.

2x University Physics I (mechanics), Spring 20082x University Physics I (mechanics), Fall 2007

Department appointed tutor to assist students in physics and math