Stephanie is a Director at Qualcomm Ventures, based in Sao Paulo, focusing on investments in Latin America, across various domains. She currently serves as a board member for Idwall and board observer for Hilab.
Prior to Qualcomm Ventures, Stephanie’s most recent position was director at Peninsula Partners, PE/VC investment arm of Mr. Abilio Diniz’s family office. During the 8 years at Peninsula, she led and supported deals around education, health and retail, in both private equity and venture capital portfolios. She started her career in strategy consulting at Monitor Group and BCG.
Stephanie holds a B.S. degree in Chemical Engineering from Escola Politécnica da Universidade de São Paulo and a M.S. degree in Engineering from Ecole Centrale de Lyon. She is a CFA® chartholder, CFA Institute.
Outside the Office
Outside work, Stephanie enjoys traveling and hiking (ideally together), baking new recipes and participating in jam sessions as the singer or drummer.
Identity fraud is a billion dollar problem in Brazil, generating compliance and regulatory rules that stop business operations from easily scaling up while maintaining security and User Experience. ID Wall products use machine learning and other cutting edge solutions to provide clients with answers to those problems in the best possible way.
Hilab is a LATAM startup offering an online platform for laboratory testing services. The company developed Hilab, consisting of an IoT device that performs blood tests and a cloud-based platform that delivers lab reports in real-time. The technology solves a clear pain point in emerging markets: having lab exams is expensive and time-consuming for most Brazilian patients.
The company aims to disrupt a $13bi industry by providing a fast and convenient experience. With Hilab, the blood test can be performed directly at a physician clinic or in a drugstore. After collecting a few drops of blood, the collected sample is processed and tested inside a disposable capsule. A digitalized version of the sample is sent to the cloud, where medical experts (helped by proprietary AI algorithms) prepare a lab report. The whole process (from blood collection until delivered lab report) usually takes less than 10 minutes.
Fresh food accounts for 40% of supermarket sales and is critical to store traffic and loyalty, but stockouts and waste hinder profitability. Replacing spreadsheets and generic forecasting tools, Aravita will use AI/ML to optimize the ordering of fresh food, with simple integrations, enriched data and audits of input quality. Aravita will also help lower GHG emissions, reduce food insecurity and help farmers attain better financial outcomes.