Qian Zhao

CTO

New York, New York, United States16 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Over 10 years of experience in AI/ML and quantitative finance.
Led development of ML-based credit pricing algorithm at Goldman Sachs.
Expert in building scalable ML systems for strategic decision-making.

Stackforce AI infers this person is a Machine Learning Quant with expertise in Fintech and Healthcare.

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Skills

Core Skills

Machine LearningQuantitative FinanceArtificial Intelligence (ai)

Other Skills

Technical LeadershipLarge Language Models (LLM)Data ScienceProject ManagementHands-on Technical LeadershipPython (Programming Language)CommunicationDeep LearningQuantitative ResearchGenAIComputer VisionBiomedical EngineeringMedical ImagingImage ProcessingSignal Processing

About

Machine Learning Quant with 10+ years of experience applying AI/ML, deep learning, and statistical modeling to pricing, forecasting, and quantitative financial products. I specialize in building end-to-end ML solutions — from signal generation and time-series prediction to distribution estimation, model deployment, and production inference systems. I’m passionate about transforming complex data into scalable, high-performance ML systems that drive strategic decision-making. My work ranges from building the first ML-based credit pricing algorithm service at GS, to designing RL-based hedging simulators, to leading AI-driven medical imaging innovation. My background combines deep technical expertise (Python, PyTorch, TensorFlow, statistical ML, RL) with practical experience integrating ML into quant workflows and financial systems. I am especially interested in systematic quantitative modeling, machine learning/AI, time-series modeling, statistical modeling, and scaling ML in trading environments.

Experience

Goldman sachs

Head of Applied AI US (ML Quant)

Nov 2021 – Present · 4 yrs 4 mos · New York City Metropolitan Area · On-site

Lead the development of machine learning models and quantitative methodologies to support trading decisions within a global markets environment.

Technical LeadershipLarge Language Models (LLM)Machine LearningData ScienceProject ManagementHands-on Technical Leadership+3

Jpmorgan chase & co.

2 roles

Machine Learning Director, Executive Director

Promoted

Feb 2021 – Nov 2021 · 9 mos

Led ML engagements for systematic equity forecasting, distribution modeling, and end-to-end ML/AI solutions for trading use cases.
Designed ML-driven market simulator and RL-based deep hedger for execution and risk optimization.

Technical LeadershipHands-on Technical LeadershipCommunicationMachine LearningArtificial Intelligence (AI)Deep Learning

Machine Learning Lead, Vice President

Mar 2019 – Jan 2021 · 1 yr 10 mos

Technical LeadershipHands-on Technical LeadershipCommunication

Ge

2 roles

Staff Data Scientist

Promoted

Apr 2018 – Mar 2019 · 11 mos · San Francisco Bay Area

Led R&D on advanced deep learning algorithms for medical imaging, diagnostics, and time-series clinical data.
Designed production-ready CNN/RNN models and computer-vision pipelines used across GE healthcare platforms.
Collaborated with global customers to translate research prototypes into deployable medical imaging solutions.

Technical LeadershipCommunicationMachine LearningPython (Programming Language)

Senior Data Scientist

Nov 2017 – Mar 2018 · 4 mos · San Francisco Bay Area

Conduct R&D on deep learning algorithms for medical image analysis
Cooperate with BU and hospitals to develop product-ready algorithms and systems
Research and develop novel deep learning techniques

Communication

Proscia

Independent Contractor

Jun 2017 – Oct 2017 · 4 mos · Baltimore, Maryland Area

Developed deep learning models for digital pathology and whole slide imaging applications including image recognition and segmentation.

Communication

Tissue analytics, inc.

Lead Data Scientist

Jan 2016 – Nov 2017 · 1 yr 10 mos · Baltimore, Maryland Area

Led R&D of the cutting-edge DL/ML technology for products.
Designed and built production-ready DL/ML models and computer-vision based system.
Designed and developed core algorithms for the products.
Have hands-on experience of deep-learning-based image recognition, object localization, object detection and semantic segmentation.
Also responsible for some computer vision and image analysis algorithms

Communication

Docomo beijing communications laboratories co., ltd.

Advanced Researcher

Aug 2014 – Jul 2015 · 11 mos · Beijing, China

Led R&D of DL/ML algorithms and their applications to mobile intelligent services.
Led R&D of mobile smart life services, e.g. fashion and healthcare.
Designed and built a DL-based image recognition algorithm for a mobile fashion App.

Children's national medical center

Research Postdoctoral Fellow

Jun 2012 – Jun 2014 · 2 yrs · Washington D.C

R&D on the cutting-edge computer-assisted pediatric diagnosis and surgery techniques.
Designed and built a ML-based automated genetic syndromes detection system using facial photography.
Designed and built a model-based optimal surgical planning system for pectus excavatum correction surgery.
Achievements: 1. Digital dysmorphology from facial photography based on machine learning
techniques. Work currently resulted in publication: SPIE Medical Imaging 2013/2014, EMBC
2013, MICCAI 2013, Medical Image Analysis and U.S. patent.
2. Personalized optimal surgical planning system for Pectus Excavatum correction. Work
currently resulted in SPIE 2014 and ISBI 2014.
3. Automatic photography-based volume estimation in Ostomy. Work resulted in U.S. patent.