Paul Sajda

Paul Sajda serves as the Vikram S. Pandit Professor of Biomedical Engineering and holds joint appointments as Professor of Radiology (Physics) and Electrical Engineering at Columbia University's Fu Foundation School of Engineering and Applied Science. He is a verified Data Science Institute member with affiliations in Computing Systems for Data-Driven Science and Foundations of Data Science.

His academic credentials include:

• 1989: B.S. in Electrical Engineering, Massachusetts Institute of Technology
• 1992: M.S. in Bioengineering, University of Pennsylvania
• 1994: Ph.D. in Bioengineering, University of Pennsylvania

Sajda's research centers on Neural Engineering, employing computational modeling and neuroimaging to decode visual cortex circuitry. He develops applied neuroscience systems including brain-computer interfaces for rapid image search and computer-aided diagnostic tools for medical imaging. His methodology follows a 'build it, measure it, test it, understand it' philosophy honed during six years of industrial R&D at Sarnoff Research Center, focusing on neurocomputational modeling, pattern recognition, and adaptive biomedical signal processing.

His distinguished honors comprise:

• 1988 Eta Kappa Nu
• 1989 David Adler Memorial Thesis Prize (MIT)
• 1989 University Fellow (UPenn)
• 1991 ONR National Defense Science Fellowship
• 1993 Louis and Josepha B. Flexner Award (Neurosciences)
• 1994 Solomon R. Pollack Award (Bioengineering)
• 1996 Sarnoff Technical Achievement Award
• 2002 NSF CAREER Award
• 2006 IEEE Senior Member
• 2008 JSPS Fellowship
• 2009 AIMBE Fellow
• 2011 IEEE TNSRE Editor-in-Chief
• 2012 IEEE Fellow

No information regarding student advising or research grants was provided in the source material.

He directs the Laboratory for Intelligent Imaging and Neural Computing (LIINC), which pioneers intelligent systems for neural data analysis and medical imaging applications.