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Nava Haghighi

selected Work

       1. Self-Interfaces
             . Self-interfaces framework (ongoing)
             . EDA Self-interface (ongoing)
       2. Loa
       3. PUMA DynamicFIT
       4. EDA Trainer 
       5. Atolla
       6. Blo 
       7. Stranj(ers) 
             . Pulpa
             . Bran
             . Horder
             . Nonam
             . Mater
             . Skop
       8. Plant.
       9. Lings
             . Ling-02 (Gooman)
             . Ling-05 (Wi-Ling)
       10. material research and fabrication
             . PCM Explorations
             . Relaxed
             . ClipFlip
             . Takahashi 




Data Driven Skincare Company
Co-founder and Chief Product Officer 

In September of 2018, I co-founded Atolla as the CPO, along with my two cofounders Meg (CEO) and Sid (COO). Atolla uses machine learning to classify skin and deliver customized skincare products using an individual's actual skin data.

As the Chief Product Officer, my primary responsibility was developing the product concept, the brand story, the digital and physical experience, and the brand identity and voice. 

In the one year since we started Atolla, we participated in two of the MIT accelerators, grew our team from the three cofounders by adding our dermatologist advisor Dr. Hirsch and hiring multiple interns, successfully raised a funding round, and launched a successful kickstarter campaign.
This Summer, I decided to prioritize academia and exit from the company.

You can learn more about Atolla on the kickstarter campaign page or on the website