Education

2019 - 2024 Stanford University PhD in Materials Science and Engineering

2018-2019 Cambridge University MPhil in Scientific Computing

2014-2018 Pomona College BA in Chemistry

Publications

Chen, Z., PENG, C., Petsch, A.N., Chitturi, S.R., Okullo, A., Chowdhury, S., Yoon, C.H. and Turner, J., 2023. Bayesian experimental design and parameter estimation for ultrafast spin dynamics. Machine Learning: Science and Technology.

Chitturi, S.R., Ji, Z., Petsch, A.N., Peng, C., Chen, Z., Plumley, R., Dunne, M., Mardanya, S., Chowdhury, S., Chen, H. and Bansil, A., 2023. Capturing dynamical correlations using implicit neural representations. Nature Communications, 14(1), p.5852.

Chen, H., Chitturi, S.R., Plumley, R., Shen, L., Drucker, N.C., Burdet, N., Peng, C., Mardanya, S., Ratner, D., Mishra, A. and Yoon, C.H., 2022. Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities. arXiv preprint arXiv:2210.10137.

Chitturi, S.R., Burdet, N.G., Nashed, Y., Ratner, D., Mishra, A., Lane, T.J., Seaberg, M., Esposito, V., Yoon, C.H., Dunne, M. and Turner, J.J., 2022. A machine learning photon detection algorithm for coherent x-ray ultrafast fluctuation analysis. Structural Dynamics, 9(5), p.054302.

Zhang, X., Berkinsky, D., Markus, C.R., Chitturi, S.R., Grieman, F.J., Okumura, M., Luo, Y., Yung, Y.L. and Sander, S.P., 2022. Reaction of methane and UV-activated perchlorate: Relevance to heterogeneous loss of methane in the atmosphere of Mars. Icarus, 376, p.114832.

Chitturi, S.R., Ratner, D., Walroth, R.C., Thampy, V., Reed, E.J., Dunne, M., Tassone, C.J. and Stone, K.H., 2021. Automated prediction of lattice parameters from X-ray powder diffraction patterns. Journal of Applied Crystallography, 54(6).

Chitturi, S.R., Verpoort, P.C., Lee, A.A, Wales, D.J., 2020. Perspective: new insights from loss function landscapes of neural networks. Machine Learning: Science and Technology, 1(2), p.023002.

Yuan, B., Chitturi, S.R., Iyer, G., Li, N., Xu, X., Zhan, R., Llerena, R., Yen, J.T. and Bertozzi, A.L., 2017, March. Machine learning for cardiac ultrasound time series data. In Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging (Vol. 10137, p. 101372D). International Society for Optics and Photonics.

Awards

2019 MPhil in Scientific Computing Thesis Distinction, Cambridge University

2018 Undergraduate Award in Physical Chemistry, ACS

2018 Royal Society of Chemistry Certificate of Excellence , RSC

2018 Phi Beta Kappa, PBK

2018 Downing Fellowship, Cambridge University / Pomona College

2018 The Frank Parkhurst Brackett, Jr., and Davida Wark Brackett Prize, Pomona College