Zhaoyu (Edward) Xu is an incoming master student in College of Computing (CoC) at Georgia Institute of Technology. Before joining GaTech CoC, he has completed his MSc degree in Finance at London School of Economics (LSE) and has obtained his Bachelor’s (Hons) degree in Finance & Applied Math from The Hong Kong Polytechnic University (PolyU).
After graduation, he plans to pursue Ph.D. study in Finance/Financial Economics or in Operations Research (Financial Engineering). His research interests broadly cover the interdisciplinary fields of Machine/Deep Learning & Finance, currently focusing on the financial applications of Natural Language Processing (NLP) Models.
Download my resumé.
MSc in Computational Science and Engineering, 2024
College of Computing, Georgia Tech
MSc in Operations Research, 2024
School of Industrial and Systems Engineering, Georgia Tech
MSc in Finance, 2021
London School of Economics and Political Science (LSE)
BBA (Hons) in Financial Services & Applied Math, 2020
The Hong Kong Polytechnic University
Responsibilities include:
Responsibilities include:
Actively engaged in the whole process of data collection/cleansing/mining using web scrapers/spiders & textual analysis tools (BeautifulSoup, Requests, Scrapy)
Collaborated with multiple scholars on several econometric & macro/urban/regional economic research projects focusing on -
(i) The impacts of the unstable macroeconomic environment under the China-U.S. Trade War on various importing and exporting commodities from different sectors
(ii) The synergistic and spillover effects of exhibitions/sports events on regional hotel and tourism industry
Responsibilities include:
Responsibilities include:
Deeply engaged in 4 IPO and 1 Non-Public Offering projects, together with the continuous supervision and guidance for 3 other projects-
(1) EZVIZ (A21616.SH) Spin-off IPO from Hikvision (002415.SZ) – 3.739B
(2) China Isotope & Radiation Corp. (1763.HK) H-to-A Listing – 1.842B
(3) BMC Medical (A20776.SZ) IPO – 738M
(4) Rendu Biotechnology (688193.SH) IPO – 701M
(5) East China Engineering Science & Technology (002140.SZ) Non-Public Offering – 931M
Taking full charge of the data collection/analysis and training material preparation for the “on-the-job training” to all IBD employees focusing on “IPO Rejection & Penalty Case Analysis from Jan to Aug 2021”
Engaged in the research project on analyzing the examination trend of AI-related IPOs on the STAR Market; Constructed the A/H-Share Comps Model Template for 4 different industries; Conducted the comprehensive performance analysis and comparison between CICC and another one of the largest IBs in China, reported to the Head of IBD
Independently developed the automatic data processing/updating and report generating toolbox using VBA and Python to follow up the latest IPO proceedings on the market, which is regularly reported to the whole IBD during the weekly morning conference
Responsibilities include:
Responsibilities include:
Responsibilities include:
Responsibilities include:
Responsibilities include:
The 16th IAES Best Undergraduate Paper Award
Finalist
◼ (2020 Contest Description) To encourage undergraduate interest in economic issues, Andrew W. Lo, President, and Philippe Martin, Vice-President, of the International Atlantic Economic Society cordially invite students to compete in the IAES annual undergraduate competition in Washington, D.C., 15-18 October 2020
◼ Comprehensively assessed the feasibility and suitability of a series of Machine Learning (PCA + XgBoost/LightGBM) & Deep Learning (AutoEncoder + GRU/LSTM) models on the predictions of company fundamentals (i.e., the Earnings)
◼ Presented at the 90th International Atlantic Economic Conference
◼ Forthcoming at the Atlantic Economic Journal (https://arxiv.org/abs/2005.13995)
◼ Being elected as Academic Representative for the flagship MSc Finance Program at LSE
◼ Being granted £6000 GSS award
The Mathematical & Interdisciplinary Contest in Modeling (MCM/ICM)
Meriterious Winner (7%)
◼ Built valuation models on environmental degradation using Entropy Weight Method combined with Dose-Response Functions
◼ Evaluated the validity and sensitivity of the model based on remote sensing and statistical data from three provinces in China
◼ Analyzed the model stability on finite time intervals and generalized the original model by making time-series adjustments
ACCA Hong Kong Business Competition
Judges Commendation Award (Top 12)
◼ The only varsity team from PolyU qualified for the regional semi-final competition
◼ Completed business proposal targeting at Ecotourism Industry in Hong Kong and proposed feasible improvement solutions for the social enterprise (NLPRA), which was commended by the organizing committee
Graduate Dissertation @ LSE advised by Prof. Peter Kondor
Capstone Project Co-advised by Dr. Jingran Zhao (@ PolyU) & Mr. Stephen Choi (@ LORA Technologies)