Yichi Zhang

79 5th Ave, New York City, NY
Email: yichi.a.zhang@capgemini.com

Professional Experience

Senior Data Scientist, Capgemini Financial Services, NYC, Aug. 2018 – Present

Lead various data science and machine learning projects for clients in insurance and banking sectors.

Machine Learning Engineer, Capgemini, Chicago, June 2017 – Sept. 2017

Machine Learning Engineer, Clarity Insights, Chicago, June 2016 – Sept. 2016


Ph.D. in Mechanical Engineering, Northwestern University, Evanston, IL, 2018

Dissertation: A Data-driven Approach for Heterogeneous Materials Design
Committees: Wei Chen, L. Catherine Brinson and Daniel Apley
Teaching Assistant for ME-441: Engineering Optimization for Product Design and Manufacturing

M.S. in Mechanical Engineering, Northwestern University, Evanston, IL, 2014

Thesis: Computational Method for Design of Nano-dielectric Material System
Committees: Wei Chen, L. Catherine Brinson and Daniel Apley

B.S. in Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 2013

B.S. in Finance, Shanghai Jiao Tong University, Shanghai, 2013

Publications & Conference Proceedings

  1. Zhang, Y., Apley, D., Chen, W., 2019. Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables. arXiv preprint arXiv:1910.01688.
  2. Iyer, A., Dulal, R., Zhang, Y., Ghumman, U.F., Chien, T., Balasubramanian, G. and Chen, W., 2019. Designing Anisotropic Microstructures with Spectral Density Function. arXiv preprint arXiv:1908.07661.
  3. Zhang, Y., Tao, S., Chen, W. and Apley, D.W., 2019. A latent variable approach to Gaussian process modeling with qualitative and quantitative factors. Technometrics, pp.1-12. [R LVGP Package]
  4. Iyer, A., Zhang, Y., Prasad, A., Tao, S., Wang, Y., Schadler, L., Brinson, L.C. and Chen, W., 2019. Data-Centric Mixed-Variable Bayesian Optimization For Materials Design. arXiv preprint arXiv:1907.02577.
  5. Wang, Y., Zhang, Y., Zhao, H., Li, X., Huang, Y., Schadler, L.S., Chen, W. and Brinson, L.C., 2018. Identifying interphase properties in polymer nanocomposites using adaptive optimization. Composites Science and Technology, 162, pp.146-155.
  6. Bostanabad, R., Zhang, Y., Li, X., Kearney, T., Brinson, L.C., Apley, D.W., Liu, W.K. and Chen, W., 2018. Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques. Progress in Materials Science, 95, pp.1-41.
  7. Chen, Wei., Schadler, Linda, Brinson, Cate, Wang, Yixing, Zhang, Yichi, Prasad, Aitya, Li, Xiaolin, Iyer, Akshay. Materials Informatics and Data System for Polymer Nanocomposites Analysis and Design. Big, Deep, and Smart Data in the Physical Sciences, 2018
  8. Li, X., Zhang, Y., Zhao, H., Burkhart, C., Brinson, L.C. and Chen, W., 2018. A transfer learning approach for microstructure reconstruction and structure-property predictions. Scientific reports, 8.
  9. Yu, S., Zhang, Y., Wang, C., Lee, W.K., Dong, B., Odom, T.W., Sun, C. and Chen, W., 2017. Characterization and design of functional quasi-random nanostructured materials using spectral density function. Journal of Mechanical Design, 139(7), p.071401.
  10. Yu, S., Wang, C., Zhang, Y., Dong, B., Jiang, Z., Chen, X., Chen, W. and Sun, C., 2017. Design of non-deterministic quasi-random nanophotonic structures using Fourier space representations. Scientific reports, 7(1), p.3752.
  11. Wang, C., Yu, S., Dong, B., Zhang, Y., Jiang, Z., Chen, X., Zi, J., Chen, W. and Sun, C., 2016, June. Bio-inspired design strategy of quasi-random structures for optimal light control. In 2016 Conference on Lasers and Electro-Optics (CLEO) (pp. 1-2). IEEE.
  12. Zhao, H., Li, X., Zhang, Y., Schadler, L.S., Chen, W. and Brinson, L.C., 2016. Perspective: NanoMine: A material genome approach for polymer nanocomposites analysis and design. APL Materials, 4(5), p.053204.
  13. Zhang, Y., Apley, D.W. and Chen, W., 2016, January. A Structural Equation Modeling Based Approach for Identifying Key Descriptors in Microstructural Materials Design. In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers Digital Collection.
  14. Zhang, Y., Zhao, H., Hassinger, I., Brinson, L.C., Schadler, L.S. and Chen, W., 2015. Microstructure reconstruction and structural equation modeling for computational design of nanodielectrics. Integrating Materials and Manufacturing Innovation, 4(1), p.14.