Yannan "Ryan" Sun Email & Phone Number
@nordstrom.com
2 phones found area 888 and 206
LinkedIn matched
Who is Yannan "Ryan" Sun? Overview
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Yannan "Ryan" Sun is listed as Director of Data Science, Causal AI and Experimentation at Genentech, a with 18231 employees, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at nordstrom.com, phone signal with area code 888, 206, and a matched LinkedIn profile for Yannan "Ryan" Sun.
Yannan "Ryan" Sun previously worked as Sr. Director of Data and Science at Verana Health and Director of Analytics -> Sr. Director of Data Science at Claritas Rx. Yannan "Ryan" Sun holds Stanford Ignite, Entrepreneurship/Entrepreneurial Studies from Stanford University Graduate School Of Business.
Email format at Genentech
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AeroLeads found 1 current-domain work email signal for Yannan "Ryan" Sun. Compare company email patterns before reaching out.
About Yannan "Ryan" Sun
Yannan "Ryan" Sun is a Director of Data Science, Causal AI and Experimentation at Genentech. He possess expertise in statistical modeling, sas programming, data mining, data visualization, communications audits and 12 more skills. He is proficient in Chinese and English. Colleagues describe him as "Ryan Sun is the most talented data science professional I've worked with in the biopharma space. He is dedicated to leveraging standard methods and finding novel ways to support good model design, to ultimately drive good decision-making. He has also built an incredible team of data scientists to move our efforts forward from theory to practice. I appreciate partnering with Ryan on projects that have real world impacts in the life sciences.", "I had the pleasure to work with Ryan in Summer’17 on a project to explore market landscape of a pipeline Alzheimer's therapy. It was an absolute delight to work with him. He is a great mentor and a great manager. Few things that stood out most about Ryan were – First, he was always available to help me out, be it with technical challenges, or understanding the industry, or effectively presenting technical analysis to a business audience. Second, he effectively utilized his industry expertise and actively engaged in evaluation and implementation of ideas to make the analysis more impactful. And last, Ryan understood my professional aspirations and earnestly helped me in achieving those objectives. Overall, I am glad to have Ryan as my manager and wish him success.", and "Ryan brings a unique mix of being technical strong, highly strategic, and a clear communicator. He is skilled at ensuring he and his teammates are focused on the highest priorities that drive the business. He quickly grasps what is needed and works well with his team to get the job done. It's been a real pleasure to work with Ryan."
Listed skills include Statistical Modeling, Sas Programming, Data Mining, Data Visualization, and 13 others.
Yannan "Ryan" Sun's current company
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Yannan "Ryan" Sun work experience
A career timeline built from the work history available for this profile.
Sr. Director Of Data And Science
Director Of Analytics -> Sr. Director Of Data Science
• [Leadership] Established Company’s Data Science department from inception to team of six; contributing to Company’s top line growth through both data science consulting services and product subscription • [AI/ML] Patient Adherence Risk Predictive Model: Develop and productize ML data pipeline, models and evaluation metrics to predict patient therapy adherence risk and drivers on daily basis, empowering drug manufacturer clients to timely intervene and prevent patient churn• [NLP/LLM] Clinical Text Data Feature Extraction: apply NLP /LLM to quantify patient sentiment, extract clinical symptoms and other treatment barriers from patient engagement notes to support timely patient support and intervention• [Commercial Strategy] Competitive Insights Market Benchmark: integrate 50M+ records of industry data of various sources to develop Tableau dashboards and consulting deliverables, and support drug manufacturer clients with commercial planning by leveraging industry benchmarks • [Measurement & Optimization] Marketing & Patient Service Effectiveness Optimization: Developed and productized measurement and optimization algorithms to timely and systematically assess the effectiveness of marketing campaigns and patient service programs across client portfolio; guiding drug manufacturers to optimize / allocate marketing and operation spending• [Analytical Data Engineering] Analytical Reporting Data Model: transform and integrate diverse range of data into standard & unified reporting model, serving as the foundation for advanced business reporting and data science productization
Customer Solutions Manager | Engineer
- Dual role in both data science and data engineering- Independently own / lead analytical consulting projects including scoping, developing solutions and presenting to clients- Data science product prototyping
Sr. Analytics Manager
Early pipeline and new product commercialization- Disease area: Alzheimer's Disease, Autism, Anti-biotics - Revenue driver analysis- Sales force sizing- Quantitative Insights on market landscape, physician /patient behavior - Managed a summer intern. Extensive use of Rx claims data, IMS sales data and Premier hospital data
Analytics Manager
Apply Advanced Analytics to support Esbriet Franchise- Sales force Effectiveness Analysis- Marketing Campian ROI assessment- Launch tracking metrics development, reporting and analysis- Ad hoc business questions including patient switch, competitor Sales force tracking. - Marketing Mix ModelingProficient in SAS, familiar with Python
Manager, Analytics
I applied Advanced Analytics to empower Account Management sales force and Customer Marketing to make data-driven business decisions. I utilized SAS, SQL and Microsoft Office Suits to develop analysis for strategic initiatives including key customer selection, sales effectiveness assessment and market penetration analysis. I partnered with IT to develop and maintain several business dashboards and Microstrategy reports.I also led a series of cross-functional projects to - Develop and implement algorithm to consolidate BI data from multiple sources on U.S. Health Systems, empowering the company to accurately report on the evolving Health System ownership structure - Evaluate market potential for U.S. Health Systems, which established robust quantitative benchmarks for future customer targeting prioritization - Optimize sales resource allocation and alignment via Promotion Response Modeling, resulting in successful sale force re-structuring and increased ROI.I won multiple company and departmental awards, including Hall of Honor Marketing and Sales Excellence.
Lecture Assistant
On this position I spent more than eight hours each week grading homework and tests for a calculus class of 70+ students. I also conducted 2-hour weekly study sessions to support students with academic difficulties
Head Quantitative Tutor
Major Responsibility includes leading math workshops for non-math majors and helping the Center of Teaching and Learning with organizing various activities.
Student Math Tutor
I spent more than 10 hours each week helping students to understand Calculus as well as other quantitative subjects such as physics and economics.
Solutions Workbook Writer
I collaborated with a partner to solve approximately 1500 problems from a college-level discrete math textbook and wrote up the professional solutions manual ready to be used in final published product. We completed this project in 60 days.
Colleagues at Genentech
Other employees you can reach at gene.com. View company contacts for 18231 employees →
R. Michael ( Mike) Russo
Colleague at GenentechPipersville, Pennsylvania, United States
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Sem Gapang
Colleague at GenentechMalaysia
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Michael Mcanulty
Colleague at GenentechPortland, Oregon Metropolitan Area, United States
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Kwamina Nyame
Colleague at GenentechStanford, California, United States
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Corey Kuruma
Colleague at GenentechSouth San Francisco, California, United States
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Brandon Engesether
Colleague at GenentechPortland, Oregon, United States
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Gu Zhang
Colleague at GenentechMillbrae, California, United States
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Kylie Thacker
Colleague at GenentechSkamokawa, Washington, United States
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Mitchell Geringer
Colleague at GenentechSan Francisco Bay Area, United States
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Olga Carlsen
Colleague at GenentechWoodland, California, United States
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Yannan "Ryan" Sun education
Stanford Ignite, Entrepreneurship/Entrepreneurial Studies
M.S., Advanced Analytics
Bachelor Of Art, Math
Frequently asked questions about Yannan "Ryan" Sun
Quick answers generated from the profile data available on this page.
What company does Yannan "Ryan" Sun work for?
Yannan "Ryan" Sun works for Genentech.
What is Yannan "Ryan" Sun's role at Genentech?
Yannan "Ryan" Sun is listed as Director of Data Science, Causal AI and Experimentation at Genentech.
What is Yannan "Ryan" Sun's email address?
AeroLeads has found 1 work email signal at @nordstrom.com for Yannan "Ryan" Sun at Genentech.
What is Yannan "Ryan" Sun's phone number?
AeroLeads has found 2 phone signal(s) with area code 888, 206 for Yannan "Ryan" Sun at Genentech.
Where is Yannan "Ryan" Sun based?
Yannan "Ryan" Sun is based in San Francisco Bay Area, United States while working with Genentech.
What companies has Yannan "Ryan" Sun worked for?
Yannan "Ryan" Sun has worked for Genentech, Verana Health, Claritas Rx, Sanofi Pasteur, and North Carolina State University.
Who are Yannan "Ryan" Sun's colleagues at Genentech?
Yannan "Ryan" Sun's colleagues at Genentech include R. Michael ( Mike) Russo, Sem Gapang, Michael Mcanulty, Kwamina Nyame, and Corey Kuruma.
How can I contact Yannan "Ryan" Sun?
You can use AeroLeads to view verified contact signals for Yannan "Ryan" Sun at Genentech, including work email, phone, and LinkedIn data when available.
What schools did Yannan "Ryan" Sun attend?
Yannan "Ryan" Sun holds Stanford Ignite, Entrepreneurship/Entrepreneurial Studies from Stanford University Graduate School Of Business.
What skills is Yannan "Ryan" Sun known for?
Yannan "Ryan" Sun is listed with skills including Statistical Modeling, Sas Programming, Data Mining, Data Visualization, Communications Audits, Marketing Analytics, Technical Writing, and Design Of Experiments.
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