Welcome to the Tadesse Lab at MIT
Our Research
Diagnostics Anywhere
Rapid, accurate disease diagnosis, and real-time monitoring is essential for effective treatments, halting the rise of drug resistance, and achieving personalized health and precision medicine goals. The Tadesse Lab develops next generation point-of-care diagnostic devices using optical, spectroscopy and nanoscience-based tools with machine learning based data analysis for application in resource limited clinical settings including developing nations, extraterrestrial exploration, and military sites. We aim to establish a leading research program for translational medicine integrating sensing technologies, artificial intelligence tools and needs-based design thinking for translation to targeted clinical and research settings.
Our Team
Prof. Loza Tadesse
Principal Investigator
Loza Tadesse is an assistant professor at MIT Department of Mechanical Engineering and an associate member of the Ragon Institue of MassGeneral, MIT, and Harvard. She received her PhD in bioengineering from Stanford University in 2021 and previously was a medical student at St. Paul Hospital Millennium Medical College in Ethiopia. She was a postdoctoral scholar at the University of California, Berkeley in the Computational Imaging lab of Prof. Laura Waller. Tadesse has been listed as a 2022 Forbes 30 Under 30 in healthcare, received many awards including the Biomedical Engineering Society (BMES) Career Development Award, and the Gates Foundation $200K grant for SciFro Inc., an educational non-profit she co-founded. She enjoys spending time with her family, watching movies, taking walks and hanging out with friends specially over delicious Ethiopian food.
Marrissa McDonald
Graduate Student
I am a recent graduate of Johns Hopkins University with a B.S. in Biomedical Engineering and a minor in Computational Medicine. Currently, I am pursuing my PhD in Medical Engineering & Medical Physics in the Harvard-MIT Health Sciences & Technology program. I have a passion for bringing immunoengineering technology to low-resource settings for global health and space medicine applications
Siamak Sooryashori
Collaborator, currently PhD Candidate at UC Berkeley
I received BS and MS degrees in electrical engineering and worked at Bell Labs before becoming interested in biological research. I subsequently pursued these avenues at several small companies and startups – including a brain training venture – and a big pharma company. I hope to contribute computation, algorithms, and statistics to the biology while learning the biology.
MIT Nano
Ragon Institue of MGH, MIT and Harvard
