Daniel Mayer, Cae, Cfd, Hpc Email & Phone Number

Palo Alto, California, United States

Battery pack modeling, simulation and optimization.

Sunnyvale, California, United States

Led advanced R&D in multi-physics modeling and deep learning, optimizing simulation tools for product design. Managed collaborations with cross-functional teams, contributed to open-source projects, and mentored engineers. Developed APIs integrating engineering tools with machine learning, and prepared patent applications.Selected accomplishments:• Led high-impact project on physics-based and deep learning based reaction kinetics modeling for adjoint-based shape optimization, achieving deployment of tools that supported existing multi-billion annual market share and helped securing market leader position.• Volunteered as a board member of the SU2 Foundation, fostering industry-academia collaboration.• Worked closely with international cross-functional teams, developing and executing strategic initiatives.

Sunnyvale, California, United States

Directed research initiatives in computational engineering, focusing on developing and validating advanced simulation models. Led cross-functional collaborations to enhance product performance, integrating cutting-edge technologies into existing workflows. Contributed to open-source projects and developed tools for optimizing high-performance computing tasks, while mentoring junior team members.Selected accomplishments:• Developed and validated reactive flow model in SU2, enabling adjoint-based shape optimization for reactive flows.• Led hydrogen reaction kinetics modeling project, using physics-based and machine learning models, significantly enhancing simulation accuracy and reducing computation time. • Developed API to couple ANSYS Fluent with neural network models, validating through fuel cell simulations.

Sunnyvale, California, United States

Performed simulations and analysis to assess safety and performance of engineering designs, with a focus on battery cell abuse testing. Collaborated with clients to identify critical safety parameters, ensuring projects met stringent deadlines. Contributed to the improvement of simulation accuracy and reliability, directly impacting product safety and compliance.Selected accomplishment:• Simulated battery cell abuse, identifying key safety parameters, helping client meet critical deadline.

Sunnyvale, California, United States

Conducted advanced research in heat and mass transfer, focusing on the development and validation of models for industrial applications. Developed innovative simulation tools for ammonia absorption and natural gas combustion, significantly enhancing performance and deployment across Bosch Home Comfort Group. Led the integration of these models into existing systems, resulting in substantial improvements in simulation efficiency and accuracy.Selected accomplishment:• Implemented reaction kinetics model for natural gas combustion, boosting simulation performance by 100x.

Phd Candidate, Computational Engineering Sciences, Faculty Of Mechanical Engineering

Diplom-Ingenieur, Computational Engineering Sciences