Clint Howard
Contact: Clint.S.Howard@student.uts.edu.au
Entered PhD Program: January 2019
PhD Supervisor: Professor Talis Putnins and Dr Vitali Alekseev
Research topics:
- Market microstructure
- Quantitative finance
- Machine learning
- High-frequency and algorithmic trading
- Optimal execution
Academic Background and Work Experience:
Clint Howard completed a BEng (Chemical & Biomolecular) / BSci (Mathematics) graduating with First Class Honours and the University Medal at the University of Sydney (2015). In 2014, Clint spent 6 months in Saudi Arabia working on a global chemicals megaproject for Dow Chemical as part of his Honours thesis.
Clint currently works as a buy-side quantitative analyst for Macquarie Systematic Investments, whilst completing his PhD part-time. He has also spent time as a capital analyst at Macquarie, with a particular focus on IRRBB. His current research is focused on equity alpha factors in both Australian and Global markets.
Clint has a particular research interest in the limit-order book, and the application of statistical machine learning techniques for analysing high frequency microstructures.
Publications:
Howard, C., Gupta, S., Abbas, A., Langrish, T.A.G., Fletcher, D.F., 2017, "Proper Orthogonal Decomposition (POD) analysis of CFD data for flow in an axisymmetric sudden expansion", Chemical Engineering Research and Design, 123, 333-346.
Conference Presentations:
Howard, C., Abbas, A., Langrish, T.A.G., Fletcher, D.F., 2015, "Application of Proper Orthogonal Decomposition (POD) Techniques and Scale-Resolving CFD Simulations to Study Swirling Flow in an Axisymmetric Sudden Expansion", Eleventh International Conference on CFD in the Minerals and Process Industries. CSIRO, Melbourne, Australia, 7-9 December.