30Under30 Nominee: Aryan Chaudhary

Great to hear from 30 Under 30 Nominee, Aryan Chaudhary, who is redefining rural and rare-disease healthcare by blending AI, IoT and community partnerships to create equitable, scalable health systems.
How did you get into the industry and reach this point?
My path began in computer science and advanced technologies, leading to expertise in AI, IoT and big-data analytics. Witnessing the healthcare inequities of rural India inspired me to merge these skills with public health. After early roles in health-technology projects, I founded BioTech Sphere Research to bridge rural–urban healthcare gaps through initiatives like Project Phoenix, now expanding across Low and Middle-Income Countries.
Why should someone consider a career in market research, data and insights?
Data is the language of impact. Whether improving patient outcomes or shaping public policy, rigorous insights turn ideas into measurable change and open global opportunities.
Career paths are rarely without challenges. Can you share a moment from your career when things didn’t go to plan, but the lessons learned remain with you to this day?
Early in Project Phoenix, rural patients distrusted our AI-enabled health kits. Months of community engagement proved that trust, not technology, is the true currency of innovation.
What two things should junior researchers focus on as they progress in their careers?
Master deep listening. Understand users before designing solutions.
Balance ambition with patience. Lasting impact often grows slower than start-up timelines.
Do you have any advice for the sector?
Embed ethics and equity at the core of every innovation. Technology that ignores privacy, culture or inclusivity will never scale sustainably.
Is there anyone who has helped or supported you in your career who you’d like to acknowledge or thank?
I’m grateful to the community health workers who first championed our telehealth model, and to global collaborators at GA4GH and IRDiRC who helped bring rare-disease research to underserved populations.