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Live In-Person Event

Strategies to Enhance Innovation: A JMP Discovery Seminar

 

 

Join us for an enlightening event on designed experiments.

Date: February, 4, 2025
Time: Main program: 9:00 a.m.–12:00 p.m. PT
Lunch: 12:00–1:00 p.m. PT
After party and additional learning opportunities: 1:00–3:00 p.m. PT
Location: Hilton Bellevue
300 112th Avenue SE
Bellevue, WA 98004
Registration: Free, but registration is required.

You’re invited to join us for this Discovery Seminar Series event in Bellevue! Join us to learn practical tips and tricks, best practices, and strategies to effectively implement designed experiments in your day-to-day work.

Key takeaways:

  • Maximizing learning from data and, in turn, plugging your insights into faster innovation.
  • Implementing approaches to DOE that promote better decision making, whether you’re just getting started or are conducting advanced experimentation.
  • Achieving faster, more predictable cycles while saving valuable time and resources.

Each session will be followed by live Q&A with our experts. A networking lunch and additional learning opportunities round out the program. 

Attendance is limited. If you plan to join us, please register as soon as possible.  


Registration

Time: 8:00–9:00 a.m. PT


Plenary: The hardest thing is not to prove you are right, it's to admit you might not be

Time: 9:15–10:00 a.m. PT

Session Presenter
Tim Gardner, Cambium

The heart of innovation is the learning cycle: try, miss, learn, try again. With the right blend of dogged goal seeking and humble acceptance of the unexpected, nature gradually yields its secrets. The cycle applies across every human endeavor, technical or not. And the heart of the heart is data. Data matters in its quantity, in its quality, in its diversity. And it matters how you compute with it. In his talk, Tim Gardner shares some lessons learned from 30 years of scientific and social scientific innovation – and how JMP has been an indispensable partner every step of the way.

A passionate advocate for every engineer and scientist to be empowered to pursue efficient, effective discovery of practical insights, Tim discusses how you can speed innovation and achieve faster, more predictable cycles – all while saving valuable time.

Timothy Gardner

About Tim Gardner

Tim Gardner is currently Chief Informatics Officer for Cambium, applying AI and machine learning for high-performance materials discovery for use in extreme environments. 

Tim’s 25+ year career spans the fields of therapeutic and industrial bioprocess development, synthetic biology, machine learning and AI, and SaaS in diverse operating environments: small startup, large corporate, and academia. His operating experience includes commercialization (strategy, market analysis, finance, sales and marketing, contracts, deal diligence, entrepreneurship, operations, people leadership) and his R&D experience includes (scientific and technology management, product management, cell line and process development, data science/ML, data infrastructure, software/SaaS, and teaching and academic research). He received his bachelor’s in mechanical engineering from Princeton University and his Ph.D. in biomedical engineering from Boston University. 
 
Tim is a co-founder of the field of synthetic biology, as noted by the journal Nature. He has been recognized as a technology pioneer by Technology Review, the New York Times, and Scientific American.


Session: Experimentation is inseparably linked to innovation

Time: 10:00-10:30 a.m. PT

Session Presenter
TBD


Session: Building a culture of analytics to accelerate time to market

Time: 10:50—11:30 a.m. PT

You have data: assay results, process readings, performance indicators, and expertise – but are you confident you know how to maximize the value from your data? JMP product sprovide concise, focused resources to democratize analytics and grow your organization’s statistical prowess for faster innovation.

Session presenter
TBD


Session: 

Time: 11:30 a.m.—12:00 p.m. PT

Session presenter
TBD


Networking lunch

Time: 12:00—1:00 p.m. PT

Continued learning

Time: 1:00—2:00 p.m. PT

Track 1

  • Image analysis to classify, predict, and improve performance using deep learning methods that are simple to apply and master
  • Best practices in collaboration spanning your analytic workflow

Track 2

  • Synergies with Python and JMP
  • Strategic software testing for higher quality and a better using experience (covering arrays)

Register now to attend

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Session: 

Time: 2:00—2:20 p.m. PT

Session presenter
TBD


Adjournment

Time: 3:00 p.m. PT