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Jeffrey Abbott
Also published under:
Affiliation
John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, USA
Department of Chemistry and Chemical Biology, Harvard University, Cambridge, USA
Department of Physics, Harvard University, Cambridge, USA
Department of Chemistry and Chemical Biology, Harvard University, Cambridge, USA
Department of Physics, Harvard University, Cambridge, USA
Topic
Intracellular Recordings,Microelectrode Arrays,Cardiomyocytes,Parallelization,Action Potential,Bias Current,Biomolecules,Biotechnological Applications,CMOS Technology,Charge Density,Charged DNA,Circuit Design,Communication Abilities,Communication Applications,Computer Applications,Electrode,Electrolyte,Image Charge,Input-referred Noise,Integrated Circuit,Ion Torrent,Lower Cut-off Frequency,Molecular Diagnosis,Moore’s Law,Negative Feedback Loop,PCR Array,Parallel Detection,Printed Circuit Board,Technological Paradigm,Temperature Sensor,Tight Seal,Transistor Channel,Vertical Array,Amplifier Input,Amplifier Output,Antiparallel Diode,Attenuation,CMOS Electronics,Channel Length,Circuit Activity,Clock Cycles,Clock Period,Clock Phase,Current Injection,Current-clamp,Data Acquisition Card,Electrical Characteristics,Electrophysiological Signals,Excitatory Postsynaptic Currents,Ion Channels,
Biography
Jeffrey Abbott received the B.S./M.S. degree in electrical engineering from the Rochester Institute of Technology, Rochester, NY, USA, in 2011, and the Ph.D. degree in engineering sciences from the School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA, in 2017.
He is currently a Post-Doctoral Fellow with the labs of Prof. Hongkun Park and Prof. Donhee Ham at Harvard University. His current research interests include analog integrated circuits, applications of nanotechnology to neuroscience, and high-throughput CMOS biosensors.
He is currently a Post-Doctoral Fellow with the labs of Prof. Hongkun Park and Prof. Donhee Ham at Harvard University. His current research interests include analog integrated circuits, applications of nanotechnology to neuroscience, and high-throughput CMOS biosensors.