Our Team

Our Team

The Lumme team has been involved in a variety of highly visible projects that involve mobile sensing in the field environment, including the development of new biosensors, and clinical studies involving field deployment of sensors and analytics. The team is highly interdisciplinary, bringing together experts in mobile health, biomedical engineering, and smoking cessation, all with established track records of innovation. We believe that we have a strong team that can bring together innovative and well-founded ideas to innovate in how smoking cessation is done today.

Akshaya Shanmugam
Dr. Shanmugam is a PhD gradutae from UMass Amherst and her doctoral research focused on developing an array of low-cost disease screening and health monitoring systems. She is an expert in data analytics, health monitoring, and in system integration and testing. She is also the recipient of the Hluchyj fellowship, Special Tang award, David Wolf prize, Glass family demonstration award, and garnered business scholar award, the Eugene M. Isenberg scholar award for 2 consecutive years. At Lumme, she combines her research experience in working with health monitoring systems and her entrepreneurial experiences to develop solutions that help people lead healthier lives.

Abhinav Parate
Dr. Parate has done seminal work in detecting health behaviors such as smoking and drug use, as well as analysis methods for understanding the triggers of individual behavior. He has extensive experience with designing smartphone-based solutions that has been widely used by research groups across the country. He has worked extensively with health experts including behavioral scientists, and mental health experts.

Deepak Ganesan
Dr. Ganesan is a professor at the school of Computer Science at UMass Amherst. He has more than a decade of experience in the use of mobile health sensors including detection of behavioral targets such as cocaine use and smoking, understanding interactions between multiple behaviors through multi-modal sensing, prediction of future behavioral context using advanced machine learning, design of novel ultra-low power behavioral sensing platforms such as computational eyeglass for visual context sensing, and incentive strategies for mobile health.

Sherry McKee
Clinical Lead
Dr. McKee is a Professor in the Department of Psychiatry, Yale University School of Medicine, who has extensive experience developing effective treatments for addictive behaviors, including tobacco use, alcohol drinking, and obesity. She is a licensed clinical psychologist and is the Director of the Yale Tobacco Treatment Clinic.

Christopher Salthouse
Technical Advisor
Dr. Salthouse has nearly 15 years of experience as an electrical engineer designing mixed signal circuits for a variety of biomedical applications including: cochlear implants, small animal imaging systems, point of care diagnostics, and wearable sensors.