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Kevin Lee

56 papers and 3 presentations; 58 titles; 7 coauthors.

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Conference × Year × Title × Co-authors Extras Pages
PharmaSUG 2026 AI-First Leadership in Biometrics: Redefining Strategy, Teams and Execution in the Agentic AI Era source 7
PharmaSUG 2026 From SAS Servers to AI Agentic SCEs: Integrating Agentic AI into GxP-Compliant Biometrics Workflows source 5
PharmaSUG 2026 The Next Frontier of Statistical Programming: Vibe Coding with AI Coding Agents into SAS, R & Python Nathan Lee source 7
PharmaSUG 2026 Unleash the R-volution: A Blueprint for Building Package Validation Capabilities in our own organization source 5
PHUSE US 2026 AI is coming for you: New Biometric Leadership in the era of Agentic AI [presentation] source 36
PHUSE US 2026 From SAS to Cursor: Vibe-Coding into SAS, R & Python source
presentation source		 5
PHUSE US 2026 Prompt Engineering in Gen AI: A Game Changer for the professional development of Statistical Programmers and Data Scientists source
presentation source		 8
PharmaSUG 2025 AI is coming for you: New Biometric Leadership in the era of Gen AI source 7
PharmaSUG 2025 Generative AI in Biometrics: Transforming Clinical Trials with Supercharged Efficiency an Innovation source 6
PharmaSUG 2025 Leveraging Gen AI (ChatGPT, Gemini) API for Advanced Biometric Analysis in SAS, Python and R source 10
PHUSE US 2025 Revolutionising Clinical Trials: Gen AI-Powered Biometrics Breakthroughs source
presentation source		 6
PharmaSUG 2024 "Prompt it", not "Google it" : Prompt Engineering for Statistical Programmers and Biostatisticians source 4
PharmaSUG 2024 A fear of missing out and a fear of messing up : A Strategic Roadmap for ChatGPT Integration at Company Level source 4
PharmaSUG 2023 Introduction of AWS Cloud Computing and its future for Biometric Department source 4
PharmaSUG 2023 Patient's Journey using Real World Data and its Advanced Analytics source 4
PharmaSUG 2022 Enterprise-level Transition from SAS to Open-source Programming for the whole department source 4
PharmaSUG 2022 How to create SDTM SAS transport datasets using Python source 8
PharmaSUG 2022 Leading into the Unknown? Yes, we need Change Management Leadership source 3
PHUSE US 2022 Organizational Transition from SAS to Open-source Programming for the whole department [poster] Manikandan Jeeva source 1
PharmaSUG 2021 How I became a Machine Learning Engineer from a Statistical Programmer source 4
PharmaSUG 2021 Machine Learning Programming Workshop - Natural Language Processing (NLP) source 10
PharmaSUG 2019 Hands-on Training for Machine Learning Programming source 12
PharmaSUG 2019 Next Innovation in Pharma - CDISC data and Machine Learning source 5
PharmaSUG 2019 Why we should learn Python source 11
PHUSE US 2019 An Overview of the PHUSE ML/AI Working Group Project Sairam Gorthi source
presentation source		 4
PHUSE EU 2018 Introduction to Machine Learning Nicolas Dupuis source
presentation source		 9
WUSS 2018 How FDA will reject non-CDISC submission source 6
WUSS 2018 Machine Learning - Why we should know it and how it works source 8
PharmaSUG 2018 Analysis of Oncology Studies for Programmers and Statisticians source 7
PharmaSUG 2018 Machine Learning - Why we should know and How it works source 8
PharmaSUG 2018 Telling Stories with Jupyter Notebook source 14
PharmaSUG 2017 How to find the best MDR solution for your organization source 3
PharmaSUG 2017 How will FDA Reject non-CDISC submission? source 6
PharmaSUG 2017 Show Me The Job! Richelle Serrano source 4
WUSS 2016 Are you ready for Dec 17th, 2016 - CDISC compliant data submission? source 6
WUSS 2016 SAS integration with NoSQL database source 9
WUSS 2016 Why and What Standards for Oncology Studies (Solid Tumor, Lymphoma and Leukemia)? source 7
PharmaSUG 2016 Introduction of Semantic Technology for SAS programmers source 15
PharmaSUG 2016 SAS integration with NoSQL data source 9
PHUSE EU 2015 Data-centric System Development Life Cycle for Automated Clinical Data Development Systems source
presentation source		 5
PharmaSUG 2015 Exchange of data over internet using web services (e.g., SOAP and REST) in SAS environment source 9
PharmaSUG 2015 Two different use cases to obtain best responses using RECIST 1.1: SDTM and ADaM Vikash Jain source 17
PHUSE EU 2014 A New Trend in the Industry - Partnership between CROs and Pharma. Do we Know How to Work Together? source
presentation source		 4
PharmaSUG 2014 A New Trend in the industry - Partnerships between CROs and Pharma. Do we know how to work in this new relationship? source 4
PharmaSUG 2014 CDISC Electronic Submission source 6
PHUSE EU 2013 CDISC Journey on Solid Tumor Studies using RECIST 1.1 [presentation] source 36
PharmaSUG 2013 ADaM Datasets for Graphs Chris Holland source 15
PharmaSUG 2013 Running OpenCDISC in SAS source 7
PharmaSUG 2012 A Complex ADaM dataset? Three different ways to create one. source 11
PharmaSUG 2012 Graphs made easy with ODS Graphics Designer source 12
PharmaSUG 2012 How to keep the project on budget in the clinical trial study source 4
SGF 2011 How to Build ADaM Basic Data Structure from Mock Up Table source 4
SGF 2011 What CDISC Means to SAS Programmers source 3
PharmaSUG 2010 How to validate SDTM SUPPQUAL Data Set 4
PharmaSUG 2009 Oracle Clinical for SAS Programmers 8
PharmaSUG 2009 Statistics for Clinical Trial SAS Programmers 1: paired t-test 6
SGF 2008 Oracle Clinical for SAS Programmers source 8
NESUG 2007 How to QC Your Own Programs 6
NESUG 2007 Oracle Clinical for the SAS Programmer 9

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