CV

Resume of Yuhao Zhu

您可以点击此处查看我的PDF格式的个人简历。


教育背景

鹿特丹伊拉斯姆斯大学, 荷兰2015至今
 金融博士在读
 导师: Prof. Dr. Ingolf Dittmann
丁伯根研究所 及 阿姆斯特丹自由大学, 荷兰2013至2015
 经济学研究硕士 (金融方向), 2015, 优等毕业
格罗宁根大学, 荷兰2011至2013
 经济与商业经济学士(荣誉方向), 2013
复旦大学, 中国2009至2013
 经济学学士, 2013


You can view my complete and latest CV in PDF format here.


Work experience

Erasmus University Rotterdam, the Netherlands2015 to present
Ph.D. Candidate of Quantitative Financial Economics
 Conducting researches in, e.g., Finance, Banking, and Applied Econometrics.
 Modelling financial and business topics, e.g., options, executive contracts, risk, and stock prices.
 Quantitative data analysis, e.g., econometrics, time series, machine learning, optimization, text analysis.
 Data visualization with Python, e.g., choropleth maps, mean-variance boxes, histograms, and scatters.
 Presenting and discussing papers at international conferences.

Erasmus University Rotterdam, the Netherlands2015 to present
Teacher and Supervisor
 Teaching graduate-level course “Seminar Advanced Corporate Finance: Corporate Governance”.
 Giving lectures “Basic Econometrics for Data Analysis” and “Data Analysis with STATA”.
 Supervising theses of 28 Master students and 2 Bachelor students in Corporate Finance and Banking.


Education

Tinbergen Institute & VU University Amsterdam, the Netherlands2013 to 2015
M.Phil. in Economics (Finance track), cum laude
 GPA: 8.0 / 10.0
 Teaching assistant for graduate-level courses “Corporate Finance Theory” and “Statistics”.
University of Groningen, the Netherlands2011 to 2013
BSc (Honors) in Economics and Business Economics
 GPA: 8.5 / 10.0
Fudan University, China2009 to 2013
BA in Economics
 GPA: 3.78 / 4.00
 Fudan-Groningen Double Degree Program in International Economics & Business.
 Ranked 2nd in 2009 National Entrance Examination “Gaokao” (Shanghai region, social-science-oriented).

Technical strength

Skills: Econometrics, Machine learning, Big data processing, Data visualization, Financial modeling, Model calibration, Game theory, Stochastic calculus
Computer languages: Python, Matlab, SQL, VBA for Excel, STATA, Object Pascal, LATEX, Git for version control, HTML for building personal website
Natural languages: Chinese (native), English (proficient), Dutch (basic, A2), Japanese (basic)


Awards and grants

CAFM 2017 Conference Seoul Outstanding Award Korean Security Association  2017
AFA Student Travel Grant American Finance Association  2017
M.Phil. Full Scholarship Tinbergen Institute  2013 to 2015
Talent Scholarship University of Groningen  2011 to 2013
First-class Scholarship Fudan University  2011
Second-class Scholarship Fudan University  2010


Presentations at conferences

(planned) Global Finance Conference, Paris, France2018
 Global Finance Association
Behavioral Finance Working Group Conference, London, the UK2018
 Queen Mary University
Executive Compensation Conference 2018 (discussant), Rotterdam, the Netherlands2018
 Erasmus University Rotterdam
Erasmus Finance Day, Rotterdam, the Netherlands2018
 Erasmus University Rotterdam
Tinbergen Institute Ph.D. Lunch Seminar2018
 Tinbergen Institute
CAFM 2017 Conference Seoul, Korea2017
 Korean Security Association
IFABS 2017 Conference Ningbo, China2017
 Ningbo Nottingham University and Shanghai New York University
Tinbergen Institute Ph.D. Lunch Seminar2016
 Tinbergen Institute
Erasmus Finance Brown Bag Seminar2016
 Erasmus School of Economics, Erasmus University Rotterdam
Tinbergen Institute Ph.D. Lunch Seminar2016
 Tinbergen Institute