Jeffrey Varner holds a Bachelor of Science degree (Chemistry), a Masters and a Ph.D. degree in Chemical Engineering, from Purdue University. Prof. Varner’s graduate thesis work at Purdue was done under the direction of Prof. D. Ramkrishna in the area of modeling and analysis of metabolic networks. Following Purdue, Prof. Varner was a postdoctoral researcher in the Department of Biology at the ETH-Zurich where he studied signal transduction mechanisms involved in cell-death under Prof. Jay Bailey. After the ETH, Prof. Varner was a Scientist in the Oncology business unit of Genencor International Inc, Palo Alto, CA. While at Genencor, Prof. Varner was involved in the discovery of novel targets in human cancers, and was a project team member for preclinical, phase-I and II studies of protein therapeutics for the treatment of colorectal cancer and Chronic Lymphocytic Leukemia (CLL). Prof. Varner left Genencor at the end of 2005 to join the faculty of the Chemical and Biomolecular Engineering department at Cornell University. At Cornell, the Varner lab is developing physiochemical modeling tools to rationally reprogram human signal transduction architectures.
Quantitative
ModelingCornell Certificate Program
Quantitative Modeling (CHEMEC02)
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Overview
How It Works
Format
All Online
Time Commitment
3 months with 6-8 hours of study per week
Learn From Top Minds
Courses are developed by Cornell faculty.
Power Your Career
Gain today’s most in-demand skills to stand apart.
Flexibility Fits Your Life
Learn on your schedule without stepping out of your job.
Small-class Experience
Participate in facilitated discussions and live sessions with industry peers.
Real-world Projects
Apply learnings and insights to your work to make an impact right away.
Personalized Feedback
Enjoy meaningful feedback on assignments from expert facilitators.
Format
All Online
Time Commitment
3 months with 6-8 hours of study per week
Learn From Top Minds
Courses are developed by Cornell faculty.
Power Your Career
Gain today’s most in-demand skills to stand apart.
Flexibility Fits Your Life
Learn on your schedule without stepping out of your job.
Small-class Experience
Participate in facilitated discussions and live sessions with industry peers.
Real-world Projects
Apply learnings and insights to your work to make an impact right away.
Personalized Feedback
Enjoy meaningful feedback on assignments from expert facilitators.
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Faculty Author
Associate Director at Cornell Engineering
Key Course Takeaways
- Compute allocations for a portfolio of equities
- Compute the profit and breakeven for European options contracts
- Simulate the options chain for American call and put options
- Compute the probability of profit for a single or composite options contract
- Use dynamic delta hedging to compensate for share price fluctuations
- Construct low and high correlation portfolios of risky assets
- Evaluate the performance of single index models
- Model U.S. Treasury coupon notes and bonds
- Build a trading bot

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I like to think outside of the box, and this program from eCornell helped me conceptualize how I want to approach data problems going forward. I was able to actually apply new course concepts to my work, rather than simply repeat steps with different values. My experience was nothing but positive!
‐ Mark T.

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