Etsy
Senior Software Engineer Ii
Harry's, Inc. Oct 2016 - Jun 2018
Software Engineer - Data
Namely Mar 2015 - Sep 2016
Software Developer
Mcmaster-Carr Aug 2013 - Mar 2015
Software Developer
Education:
Northwestern University 2009 - 2013
Bachelors, Bachelor of Arts, Economics, Creative Writing
Skills:
C# Python Javascript Neo4J Mongodb Vb.net Asp.net Microsoft Sql Server Html and Css Microsoft Office English Grammar Concise Sentences Statistical Data Analysis Postgresql Object Oriented Programming Dependency Injection
Interests:
Aestheticism Pad Thai Writing Asceticism Latin American History Crossword Puzzles Shooting Hoops Magical Realism Orpheus The Book of Job Reading The Binding of Isaac Development Microeconomics The Psychology of Performers The Mind Body Problem Virginia Woolf Non Relational Database Design High Modernism
Citadel Securities
Research Data Engineer
Squarepoint Capital Aug 2016 - Mar 2019
Software Engineer
Ericsson Sep 2014 - Dec 2015
Software Developer
Duke-Nus Graduate Medical School May 2011 - Aug 2011
Admissions Office Intern
Education:
Mcgill University 2009 - 2014
Bachelors, Bachelor of Science, Computer Science
Skills:
C++ Python C Kdb+ Linux Git Bash Javascript Mysql Php Java Lua Html Css Linux System Administration Debian Centos Vmware Vcenter Photoshop
Angelo, Gordon & Co. May 1, 2012 - Jan 2017
Director, Risk Management at Angelo, Gordon and Co
Morgan Stanley 2007 - Jul 2012
Vice President - Credit Derivative and Interest Rates Market Risk
American Express 2006 - 2007
Credit Risk Quant
Ford Motor Company 2000 - 2005
Lead Mechanical Engineer - Vehicle Body Structure
Angelo's 2000 - 2005
Managing Director, Risk Management
Education:
Tongji University
Bachelors, Mechanical Engineering
University of Michigan - Ann Arbor
Master of Business Administration, Masters, Finance
University of Michigan
Master of Science, Masters, Engineering, Mechanical Engineering
Skills:
Risk Management Vba R Sas Derivatives Capital Markets Market Risk Financial Modeling Financial Risk Hedge Funds Portfolio Management
Midwest Orthopaedics at Rush
Sports Medicine and Shoulder Surgery Fellow
Hospital For Special Surgery Jun 1, 2014 - Jul 2019
Orthopaedic Surgery Resident Physician
New York-Presbyterian Hospital 2014 - 2015
Intern, General Surgery
Doris Duke Charitable Foundation Jun 2012 - Jun 2013
Clinical Research Fellow In Orthopaedic Surgery
Jun 2012 - Jun 2013
Orthopaedic Surgeon
Education:
Yale University School of Medicine 2009 - 2014
Doctor of Medicine, Doctorates, Medicine
Yale University 2012 - 2014
Masters, Master of Health Science, Health Science
Columbia University In the City of New York 2005 - 2009
Bachelors, Bachelor of Science, Chemical Engineering
Upper Canada College 2001 - 2005
Skills:
Data Analysis Clinical Research Orthopedics Statistics Sports Medicine
Languages:
English Cantonese Mandarin
Isbn (Books And Publications)
Conditional Monte Carlo: Gradient Estimation and Optimization Applications
D'Ambrosio Eye Care IncDambrosio Eye Care Inc 479 Old Un Tpke, Lancaster, MA 01523 9785373900 (phone), 9785376030 (fax)
Dambrosio Eye Care 100 Powdermill Rd, Acton, MA 01720 9788977212 (phone), 9784610345 (fax)
Dambrosio Eye Care Inc 74 Main St, Gardner, MA 01440 9786323930 (phone), 9785376030 (fax)
Procedures:
Ophthalmological Exam
Languages:
English
Description:
Dr. Fu works in Acton, MA and 2 other locations and specializes in Optometry. Dr. Fu is affiliated with Emerson Hospital, HealthAlliance Hospital Leominster, Henry Heywood Memorial Hospital and St Vincent Hospital.
Us Patents
Systems And Methods For Optimal Bidding In A Business To Business Environment
- Mountain View CA, US Megan Kurka - Forest Hills NY, US Huashuai Qu - Sunnyvale CA, US Ilya O. Ryzhov - College Park MD, US Michael C. Fu - College Park MD, US
International Classification:
G06Q 30/08 G06Q 30/02
Abstract:
The present invention relates to systems and methods for optimizing bidding in a business-to-business environment. Initially the observed outcomes for n deals are received, and the belief parameters for these n deals are calculated. The Bayes-greedy price is then calculated and presented to a buyer. The buyer's response is collected and an optimal variance parameter based on the buyer's response is generated. The belief parameters for these n+1 deals are also updated. This process may be repeated for additional deals.