Daniel W. Email & Phone Number

Austin, Texas, United States

• 𝐌𝐚𝐭𝐞𝐫𝐢𝐚𝐥𝐬 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐆𝐫𝐨𝐮𝐩, 𝐌𝐚𝐭𝐞𝐫𝐢𝐚𝐥𝐬 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐜𝐬
• Lead and mentor teams of junior scientists on different materials informatics and digital transformation projects
• End-to-end deployment of ML models based on supervised machine learning, deep learning, computer vision, NLP, Bayesian optimization, active machine learning, generative models, and genetic algorithms to deliver custom.
• Develop custom Python software, data pipelines, CI/CD pipelines, and web applications.
• Help develop instructional materials for best practices in software development, MLOps, and other topics for internal and client use𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬Photochemical Design
• Used a combination of graph neural networks (GNNs), generative models, and retro-synthesis models (i.e., de novo molecular design) with an interface web application to help chemists explore the chemical space for.

Houston, Texas, United States

• Hired as an independent consultant to collaborate with BASF chemists to develop AI-driven models for different mining procedures.
• Trained supervised ML models to predict copper leach curves under different conditions and ore types.
• Developed a prototype web application to collect raw model input data and provide an analysis dashboard for predictions
• Wrote a Python library to support the application back to handle custom data transformations, model inference, and visualizations

Bryan/College Station, Texas Area

• My research focus was on materials informatics - combining computational materials simulations and machine learning to explore novel materials/chemical spaces and their properties. D3EM (Data-Enabled Discovery and.
• A cross-disciplinary curriculum to combine engineering design, informatics, AI/machine learning, and materials science to accelerate research and development in the Energy sector. Broad Research Interests: polymer.
• Supervised, semi-supervised, and unsupervised machine learning
• Deep learningComputational Materials Science
• Density Functional Theory (DFT) - VASP, QuantumEspresso
• Molecular Dynamics (MD) - LAMMPSsupervised machine learning, unsupervised machine learning, deep learning, data visualization

Dayton, Ohio, United States

Air Force Research Laboratory, Wright Patterson Air Force Base, Materials and Manufacturing Directorate.Part of an ongoing collaboration between AFRL and the Texas A&M MSEN/D3EM program. I spend summer months continuing my Ph.D. research with AF scientists and engineers at the base.

Stafford, TX

• Worked in dual-roles in PT&D and Materials R&D (Epoxy, Composites, and Engineered Wood Products)PT&D Group:
• Bench-scale organic synthesis
• Chemical analysis
• Formulation development for coatings, paints, and resinsMaterials R&D Group:
• Failure Analysis
• Mechanical Testing (Instron - UTM)

Lodz, Lodz District, Poland

• A rewarding experience working with some of the great polymer scientists and engineers in Dr. Miroslaw Pluta's lab at the Centre of Molecular and Macromolecular Studies.
• Investigated low-temperature polymorphism in different metal acetylacetonates through DSC.
• Thermal analysis, HSPLM, and light intensity analysis on liquid crystal phases.

Warsaw Area, Poland

• Grateful to have worked with Dr. Ewa Gorecka and her team, some of the world's foremost experts in the characterization of liquid crystals.
• Qualitative analysis of ionic liquid crystals (LCs) through single crystal and powder XRD techniques to create a detailed study of their thermotropic phase behavior.
• Thermo analysis of LCs via DSC, TGA, and thermal microscopes.

Houston, Texas, United States

100% of all undergraduate tuition and living costs were funded by bartending/serving at Hotel ZaZa (and many other places).

Houston, Texas Area

• Synthesized several novel thermotropic ionic liquid crystal systems.
• DSC, TGA, and other methods of thermal analysis of a variety of different materials such as inorganic metal complexes, oil shales, honey, and polymer materials.
• Responsible for maintaining, calibrating, and repairing laboratory instruments and equipment, such as DSC, TGA, NMR, drying ovens, and freeze-dry instruments.
• Trained incoming students on instrumentation and lab operations.

Ph.D., Materials Science & Engineering

B.S. In Chemistry, Minor In Applied Physics