Daniel Wu

Daniel Wu Email and Phone Number

Course Facilitator, Artificial Intelligence Professional Program @ Stanford University
Stanford, CA, US
Daniel Wu's Location
San Francisco Bay Area, United States, United States
Daniel Wu's Contact Details

Daniel Wu personal email

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Daniel Wu phone numbers

About Daniel Wu

Entrepreneurial AI executive with 25 years of experience driving business value through AI/ML, software engineering, and talent development. Passionate about tackling complex challenges and fostering innovation with AI. Successfully built, led, and mentored high-performing teams, delivering impactful solutions from concept to deployment. Proven ability to translate complex technical concepts for both technical and non-technical audiences. Bridges the gap between teams, leveraging AI and engineering expertise to drive consensus, innovation, and synergistic outcomes. Actively democratizes AI knowledge through educational initiatives and public speaking. Core Expertise:• Strategic Leadership• Building High-performing Teams• Talent Development• AI/ML• Full-Stack Software Engineering • Agile Process Enablement• Business Process Transformation• Project Management• Public Speaking✉ danielwu@alumni.stanford.edu

Daniel Wu's Current Company Details
Stanford University

Stanford University

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Course Facilitator, Artificial Intelligence Professional Program
Stanford, CA, US
Daniel Wu Work Experience Details
  • Stanford University
    Course Facilitator, Artificial Intelligence Professional Program
    Stanford University
    Stanford, Ca, Us
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  • Jpmorgan Chase & Co.
    Head Of Ai & Machine Learning, Commercial Banking | Chief Ai Scientist, Global Banking
    Jpmorgan Chase & Co. 2021 - Present
    New York, Ny, Us
    » Build a high performing AI team to drive AI innovation in Commercial Banking (CB). Cultivate an inclusive and collaborative team culture with growth mindset and strong purpose.» Develop, implement, and execute AI acceleration strategies, making CB AI the first team in the firm to accomplish end-to-end ML deployment in public Cloud.» Set CB’s AI acceleration vision and develop strategies encompassing accelerating LLM adoption, raising AI literacy, revising operating model, standardizing MLOps, and instilling proper governance.» Provide thought leadership to shape firm-wide AI/ML standards such as LLM/GenAI adoption, AI governance, ML Development Life Cycle guidelines, and Responsible AI practices. » Contribute to the development of firm-wide employee upskilling ML training programs. Democratize AI knowledge through speaking at JPMC internal events and industry conferences.» Champion diversity, equity, and inclusion (DEI) initiatives while offering mentorship within CB's Leadership Mentoring Circle to foster professional growth and create a more inclusive and supportive work environment.
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  • Stanford University
    Course Facilitator, Artificial Intelligence Professional Program
    Stanford University 2019 - Present
    Stanford, Ca, Us
    » Courses:• XCS224N Natural Language Processing with Deep Learning (Prof Christopher Manning)• XCS229 Machine Learning (Prof Andrew Ng, Prof Tengyu Ma, Prof Chris Ré)• XCS229II ML Strategy and Intro to Reinforcement Learning (Prof Andrew Ng)• XCS234 Reinforcement Learning (Prof Emma Brunskill)• XCS221 Artificial Intelligence: Principles and Techniques (Prof Percy Liang & Prof Dorsa Sadigh)» Teaching – Provide personalized, individualized and technical instruction to course participants who are working professionals distributed across the US and internationally. » Course Development – Apply expertise to help develop and streamline course content• Provide feedback to program team on the structure, content, and timing of course curriculum and assignments• Suggest revisions for streamlining course materials and content to promote greater effectiveness• Share expertise and applicability of course content through real-life examples
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  • Intuit
    Data Science Group Manager @Intuit Ai
    Intuit 2018 - 2020
    Mountain View, California, Us
    Led Intuit AI data scientists and ML engineers to tackle customer success challenges across business units with AI/ML.» Intuit’s Intelligent Expert Planning (IEP) platform: Modernized business planning process by building a data science powered forecasting platform to fundamentally transform the call center planning, training, and staffing across all business units, achieving 5x efficiency gain and 48x forecast resolution increase via automation alone. Further continuous improvements of forecast accuracy are expected through iterative forecast model enhancements.» Intuit’s AI-powered intelligent routing (IR) service platform: Elevated customer satisfaction by developing a NLP-based customer intent classification service integrated with QuickBooks web-based self-help system to direct our customers to the most appropriate contact channel for quicker issue resolution. Shorten the customer hold time by building an account identification service integrated with the IVR system to accurately identify customer accounts during the phone contact.» Intuit Smart Agent: Led development of a neural network based Slack bot to assist in care agent escalation (lower tier to upper tier). The work was published at the 2018 ICDM conference with patent application filed (Neural-Based Agent-Assistance Interface).
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  • Slice Technologies, Inc
    Machine Learning Team Lead
    Slice Technologies, Inc 2016 - 2018
    » Managed classification science team to build Dictionary Service (DS) for improving Slice's core product Categorization and Matching Engine (CME), which enabled to handle 5,000 requests per second and experienced zero unplanned downtime since deployment. It became a critical component of the production pipeline and boosted accuracy of CME engine by bringing many previously suboptimal product categories to quality.» Directed classification science team to design and deliver Integrated Data Labeling Engine (IDLE), which leveraged crowdsourcing scalability and streamlined training data pipeline, resulting in projected 70% cost reduction of data production. This work was published in 2018 EDBT with patent pending (Quality of Labeled Training Data).» Led information extraction ML team to enhance Slice’s information extraction pipeline by applying NLP techniques in data clustering, automatic pattern recognition, boundary detection, outlier detection with time-series analysis, and object detection with computer vision.» Awarded Second Place in 2016 Slice Hackathon for project CME-PI (CME with Picture Integration).
  • University Of California, Davis
    Uc Davis Extension Instructor
    University Of California, Davis 2017 - 2017
    Davis, California, Us
    » Taught online course: Creating Functional Websites.
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  • Wolters Kluwer Health
    Senior Software Engineer | Technical Lead, Innovation Lab
    Wolters Kluwer Health 2003 - 2016
    Alphen Aan Den Rijn, Nl
    » Managed cross-functional Clinical Decision Support (CDS) Rule Editor project. Architected the full software stack and defined rule/catalog representation schemas following best design practices. Implemented services and client application that increased medical content team’s productivity by 55%.» Designed and implemented Enterprise Service Bus (ESB) server error alert system, reducing the team's error response time by 92% and improving SLA and customer satisfaction. » Created a batch testing platform for POCA (Point of Care Advisor) to collect performance statistics, enabling executives to quickly sign on new customers to contracts worth millions of dollars.» Led a major content migration project across business units with heterogeneous content management platforms, reducing cost for ongoing content maintenance by 70%.» Engineered core components of Clin-eGuide, a medical expert system providing integrated search of diversified content and supporting Continuing Medical Education (CME).» Prototyped the first in-house iOS mobile application. Architected content preparation process and built essential services, contributing to higher customer retention and acquisition.» Recognized with the 2006 Wolters Kluwer Health Innovation Award for outstanding engineering achievements.
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  • The Art Institutes
    Instructor
    The Art Institutes 2010 - 2012
    Atlanta, Georgia, Us
    » Designed the curriculum, conducted the lectures and led the lab activities for: Intermediate Web-based Programming, Advanced Web-based Programming, Database Concepts, Interaction Design, and Streaming Media.
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  • Figuide
    Co-Founder
    Figuide 2008 - 2012
    » Co-founded an on-line personal finance marketplace and publishing platform connecting consumers with certified fee-only financial advisors. Company was later acquired by National Association of Personal Financial Advisors (NAPFA).» Managed all software development projects and adopted agile software process allowing frequent incremental quality releases in a fast-paced startup mode, resulting in higher user satisfaction and faster growth.» FiGuide was acquired by National Association of Personal Financial Advisors.
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  • Movoto
    Lead Software Engineer (Founding Team)
    Movoto 2004 - 2006
    San Mateo, California, Us
    » Architected and created Movoto from founders’ sketches and ideas. As the first engineer on board, led offshore developers during the infancy of the site.» Self-taught C# and .NET technologies to construct the site based on MVC architecture using ASP.NET, C#, and SQL Server. This foundational work evolved into the current site that supports millions of monthly visits.» Introduced proper software process and tools. Trained offshore development team to adopt the software process, achieving higher quality and faster turnaround.
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  • Skolar
    Software Engineer
    Skolar 2000 - 2003
    » Developed J2EE-based SkolarMD and SkolarRN, medical search engines and learning platforms tailored to physicians and nurses.» Designed and implemented custom content integration module providing an intuitive web interface to easily load proprietary content to the system to be displayed and searched seamlessly along with the native content. This sought-after feature brought in new contracts with several foreign government health agencies.» Overhauled the UI of the entire system by creating and integrating with the backend all new logo, icons, color palette, and CSS style sheets. Managed frequent change requests, attaining user satisfaction.» Streamlined the content integration process to minimize the overhead for frequent and high volume content updates. Authored detailed process documentation that became the standard specification for outsourcing the content conversion projects.

Daniel Wu Skills

Machine Learning Artificial Intelligence Software Engineering Agile Methodologies Databases Big Data Python Java R Tensorflow Spark Octave C# C++ Pandas Php Project Management Javascript Xml Sql Jquery E Commerce Mysql Perl Css Html .net Linux Android Development User Experience Object Oriented Design Mule Esb Iot Oracle Restful Webservices Xslt C Ajax Uml Iis Apache Tomcat Visual Studio Eclipse Linq Software Quality Assurance Hibernate Angularjs Telerik Wordpress

Daniel Wu Education Details

  • Stanford University
    Stanford University
    Computer Science (Systems Specialization + Artificial Intelligence Graduate Certificate)
  • National Taiwan University
    National Taiwan University
    Information Management

Frequently Asked Questions about Daniel Wu

What company does Daniel Wu work for?

Daniel Wu works for Stanford University

What is Daniel Wu's role at the current company?

Daniel Wu's current role is Course Facilitator, Artificial Intelligence Professional Program.

What is Daniel Wu's email address?

Daniel Wu's email address is da****@****ord.edu

What is Daniel Wu's direct phone number?

Daniel Wu's direct phone number is +165032*****

What schools did Daniel Wu attend?

Daniel Wu attended Stanford University, National Taiwan University.

What skills is Daniel Wu known for?

Daniel Wu has skills like Machine Learning, Artificial Intelligence, Software Engineering, Agile Methodologies, Databases, Big Data, Python, Java, R, Tensorflow, Spark, Octave.

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