Rohan Puri
CEO & Co-FounderStable Auto
Rohan is the co-founder and CEO of Stable Auto, an EV charging data analysis platform. The lack of EV charging infrastructure is the biggest barrier to rapid EV adoption, which is critical for reducing greenhouse gas emissions and the impacts of climate change.
To unlock the scalability of EV charging, Stable’s proprietary software uses AI to analyze prospective EV charging sites and predict their long-term profitability. Utilizing over 70 million data points, Stable’s software helps charging networks, infrastructure developers, and financial institutions transform decision-making by forecasting EV charging usage and costs over a charger's lifespan.
Before Stable, Rohan built software and machine learning models at MIT Media Lab, where he played a pivotal role in developing cutting-edge diagnostic devices and biometric sensors.
Fueled by his entrepreneurial spirit outside MIT, Rohan also advised tech startups at Techstars and Harvard Innovation Lab and was a speaker for TedX.
Rohan Puri’s Session(s):
10:45 am–11:35 am | Thu, March 27, 2025
The Critical Role of Data for EV Charging Operators
Higher equipment uptime and reduced operational costs are top priorities for EV charging operators. Technologies that use analytics, artificial intelligence (AI), or machine learning (ML) have been proven to help achieve these outcomes. Successfully employing these tools requires data with semantic meaning that is easily accessible by authorized users. This panel will review how to make data useful to an EV charging operator.
This panel will dive into:
- Why easy-to-access data with semantic meaning (descriptors) is an essential prerequisite to any software application that uses analytics, AI, or ML.
- How data enables better collaboration within and between organizations and helps prevent vendor lock-in.
- Methodologies for collecting, modeling, and storing EV charging operational data to enable these various software applications.