Anuj Sharma
Also known as: Anuj K Sharma, Anuj Kumar Sharma
Princeton University, Jawaharlal Nehru University School of Biotechnology
0000-0001-5061-9731
About
Anuj Sharma, Ph.D., is a Staff Scientist in Leifer lab at Department of Physics, Princeton University. He obtained a Master Degree in Industrial Biotechnology from Chaudhary Charan Singh University, Meerut, India and earned his Ph.D. in Biotechnology from Jawaharlal Nehru University, New Delhi, India in 2009 under the guidance of Professor Uttam K. Pati. He cleared CSIR-UGC-JRF fellowship exam and secured his own JRF/SRF fellowship for Ph.D. program. He then worked at Cornell University with Prof. Olena Vatamaniuk on a NSF funded project and at University of Maryland with Dr. Byung-Eun Kim as a Postdoctoral Associate before joining Princeton as an expert in worm molecular-genetics.
Employment
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Princeton University Staff Scientist2016 - Present
Education
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Jawaharlal Nehru University School of Biotechnology Ph.D.2003 - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (21)
- Navigation strategies in Caenorhabditis elegans are differentially altered by learning Save
- TWISP: a transgenic worm for interrogating signal propagation in Caenorhabditis elegans Save
- An inhibitory acetylcholine receptor gates context dependent mechanosensory processing inC. elegans Save
- Neural signal propagation atlas of Caenorhabditis elegans Save
- Inhibitory feedback from the motor circuit gates mechanosensory processing in Caenorhabditis elegans Save
- TWISP: A Transgenic Worm for Interrogating Signal Propagation inC. elegans Save
- Sharma et al., 2023. TWISP: A Transgenic Worm for Interrogating Signal Propagation in C. elegans Save
- A high-throughput method to deliver targeted optogenetic stimulation to moving C. elegans populations Save
- A functional connectivity atlas of $\textit{C. elegans}$ measured by neural activation Save
- Fast deep neural correspondence for tracking and identifying neurons in C. elegans using semi-synthetic training Save