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Jesse H. Goldberg (PI)
After graduating from Haverford College, Jesse enrolled in the MD/PhD program at Columbia University. There, he received his PhD in neuroscience for work on microcircuits of the cerebral cortex. After his PhD, he returned to the clinic and became fascinated by basal ganglia diseases such as Parkinson's, Huntington's and dystonia. He was originally intending on doing a residency in neurology, but was diverted when he learned that songbirds have a basal ganglia circuit that plays a role in song learning. He joined Michale Fee's lab at MIT to train in songbird neurophysiology. As a new Assistant Professor in the Department of Neurobiology and Behavior at Cornell, he is building a neurophysiology lab to study basal ganglia function in freely moving animals, including songbirds, engaged in experimentally controlled trial and error learning.


Vikram Gadagkar (Post-doc)
Vikram received his PhD with Professor Séamus Davis in the Laboratory of Atomic and Solid State Physics at Cornell University. Over the last few years, he and his colleagues have investigated the existence of a possibly new phase of matter - the 'supersolid' phase - in solid helium using ultra-sensitive SQUID-based torsional oscillators. He is applying his knowledge of experimental physics to problems in systems neuroscience as a postdoc in our lab.

http://www.nbb.cornell.edu/gadagkar/

Pavel Puzerey (Post-doc)
Pavel received his PhD under the tutelage of Roberto Fernandez Galan in the Department of Neurosciences at Case Western Reserve University. For his thesis, he studied the role of the neurotransmitter, serotonin, in shaping the activity of cortical neurons and networks using slice electrophysiology in mice and computational modeling. Pavel came to the Goldberg lab to learn about the neural mechanisms underlying trial-and-error sensorimotor learning in songbirds.


Tejapratap Bollu (Graduate Student)
Teja received bachelor's and master's degrees in electrial engineering and computer science from VIT University (India). He crossed the seven seas on a flying boat to pursue a Master's degree in Biomedical engineering at Cornell University, where he worked on modeling neurovascular networks with Drs. Chris Schaffer and Peter Doerschuk. He now works as a graduate student in Jesse Goldberg's laboratory in the Department of Neurobiology and Behavior at Cornell University, where he is teaching mice how to use joysticks.

Ruidong Chen(Graduate Student)
Ruidong received his bachelor's degree in computer science from University of Hong Kong. He originally wanted to design intelligent machines, but was diverted when he realised how different artificial intelligence was from biological intelligence. Now he is trying to understand how do songbirds evaluate their songs.

Andrea Roeser (Graduate Student)
Andrea received her both her master’s degree in biology and bachelor’s degree in biology and mathematical sciences from the New Jersey Institute of Technology. There she worked in Dr. Eric Fortune’s Weakly Electric Fish Lab studying multisensory integration. By joining the Goldberg lab, she hopes to to uncover the neural mechanisms that underlie song evaluation in songbirds.

Alex Farhang (Undergraduate)
Alex is an undergraduate from Los Angeles who is now studying Neurobiology. He is interested in understanding the neural mechanisms underlying song learning and evaluation in birds.

Kamal Maher (Undergraduate)
Kamal is an undergraduate in the College of Agriculture and Life Sciences studying Biological Sciences with a concentration in Neurobiology. He graduated high school at Arizona School for the Arts and is interested in the biological basis of practice in songbirds.

Nikil Prasad (Undergraduate)
Nikil is an undergraduate majoring in Economics and Biological Sciences with a concentration in Neurobiology & Behavior. He grew up and completed high school in Wisconsin. He is interested in the neural mechanisms underlying motor exploration and learning in mice.
Don Murdoch (Technician)
Don studied Biological Engineering at Cornell because he always wanted to learn how learning works and researched artificial intelligence applications to the control of biological systems. He traveled the world as a defense contractor for the Army and the Navy programming flight simulators, learning how to fly imaginary helicopters, developing guidance systems for drone boats and aircraft, and a control system for an artificial ecosystem to clean wastewater. He is delighted to be back on campus engineering feedback control software for the analysis and modification of bird song.
Alumni  

Eliza Baird-Daniel (Ted Schwartz Lab, Weill Medical College)
Eliza is an undergraduate majoring in Biological Sciences with a Neurobiology concentration. She grew up in Seattle, Washington and is interested in using optogenetics to examine the songbird learning system.

Eric Gao (Cornell M.S. Program in Biomedical Engineering)
Eric is an undergraduate working towards a degree in Computer Science with a minor in Biology. He grew up in Indiana and Pennsylvania, and completed high school in Ho Chi Minh City, Vietnam. He is interested in the connections between neuroscience and machine learning and is studying reinforcement learning in juvenile birds.
Tori Riccelli (Mayo Clinic School of Medicine)
Tori Riccelli is an undergradute majoring in Biological Sciences and concentrating in Neurobiology and Behavior. She completed high school in Syracuse, NY and is particularly interested in studying degenerative nerve diseases and movement disorders.
Raghav Subramaniam (Stanford Electrical Engineering and CS PhD program)
Raghav is an undergraduate studying Electrical and Computer Engineering with a minor in Computer Science. He is interested in applied mathematics topics such as signal processing, optimization, and control. He spent two semesters analyzing birdsong and attempting to change its pitch, and is now building joysticks and teaching mice how to use them. Like those mice, he is easily influenced with free food.
Jackson Walker (Thomas Jefferson School of Medicine)
Jackson Walker completed his undergraduate studies in philosophy as part of the class of 2015. He is currently working as a tech for the lab, ensuring that Teja's mice learn how to use their joysticks. He is interested in learning more about the world of science and how neural representations interact with each other to produce coherent action. He may go to medical school next year, decide to pursue a Ph.D., or attempt to combine medicine and research in the future.