CV

Education

Harvard University, Cambridge, USA
[Aug 2020 - May 2021]
M.S. in Computational Science Engineering

University of Pennsylvania, Philadelphia, USA
[Aug 2017 - May 2020]
B.A. in Economics and B.S.E. in Systems Engineering


Publications & Projects

Ching, P.Y.J., & Wang, K. (2021). Reinforcement Learning with Graph Neural Networks for Network Security Games.

Ching, P.Y.J., Hedman, M., Luu, N. & Schafer, O. (2021). Submarket Bayesian Hierarchical Modeling for Real Estate Index. Consulted for REX Homes.

Ching, P.Y.J., Fullen, K. & Lim, A. (2020). Cache Efficient Value Iteration.

Ching, P.Y.J., Todd, P. & Vasey, G. (2020). Mincer Earnings Model on Mexico 2010 Census Data.

Ching, P.Y.J., Calvo-Fullana, M. & Ribeiro, A. (2019). Reinforcement Learning through Coupled Optimization: A Linear Policy Case.

Yu, Y., Ching, P.Y.J., & Tan, Y.N. (2018). Microwave-assisted Synthesis and Mechanistic Study of Multicolor Emissive Au Nanoclusters using Thiol-containing Biomolecules. Advanced Materials Letters.

  • Presented research at Stockholm International Youth Science Seminar 2015 (with Nobel Festivities), Intel International Science and Engineering Fair 2015 (USA), Singapore International Science Challenge 2015 and Singapore Science and Engineering Fair 2015.

Ching, P.Y.J., & Tai, C. (2016). The Road to Singapore’s Future Economy. Economic Society of Singapore.

Yu, Y., Ching, P.Y.J., & Tan, Y.N. (2015). A Simple and Fast Fluorimetric Method for Thiamine (Vitamin B1) Detection by Au3+-mediated Formation of Thiochrome. Austin J Biosens Bioelectron, 1(1), 1004-1006.

Ching, P.Y.J, Tan, I. & Kowshik, M. (2013). Investigation of the Affinity of Angiotensin (II) Peptides Towards Bi-valent Metal Cations.

  • Presented research at London International Youth Science Seminar 2014 and Korea Science Academy Science Fair 2013.

Professional Experience

2021: Harvard-Salesforce EconCS Group, Cambridge, USA
2021: Harvard Teamcore Group, Cambridge, USA
2020: Analysis Group, Boston, USA
2020: Ministry of Trade and Industry (FSPD), Singapore
2019: UPenn “Friday Morning Metrics” Group, Philadelphia, USA
2019: Infocomm Media Developement Authority, Singapore
2019: Wharton Analytics Fellowship, Philadelphia, USA
2018: Lool Ventures, Tel Aviv, Israel
2018: Ministry of Trade and Industry (RED), Singapore
2015: Insitute of Materials Research and Engineering, Singapore

As part of Singapore’s mandatory military service, I served with the Navy onboard RSS Valour between 2016 - 2017 as a weapon specialist (graduated top of cadet school) and the Naval National Servicemen Branch as a data scientist in 2021.