Chen Graduate Innovator Grant Awards
The Chen Center for Systems Neuroscience is very proud to announce this year's winners of the Chen Graduate Innovator Grant.
2021 Awards
Prashant Bhat and Isabel Goronzy, Guttman lab
Investigating nuclear compartmentalization and kinetics of RNA splicing in Amyotrophic Lateral Sclerosis
Laura Luebbert, Lois lab
Biological Consequences of Electromechanical Effects in Neurons
Anand Muthusamy, Lester lab and Matthew Rosenberg, Meister lab
Ethological Drug Utility
Daniel Pollak, Dickinson lab
ERGo! – a citizen science initiative aimed at allowing scientific novices to make electroretinograms, thereby identifying new insect species for subsequent comparative studies of visual physiology and ecology.
Martin Tran, Elowitz lab
Lineage motifs reveal cell fate decision programs in the retina
Congratulations to these intrepid graduate innovators! A graduate research symposium will be held at the end of next year where the students will present their discoveries.
2020 Awards
Annie Erickson, Chen Graduate Fellow and Tarun Sharma, Dickinson lab
Sensorimotor computation underlying praying mantis predatory strike
Shannon Esswein, Bjorkman lab
Evaluating temporal proteomics of Zika virus infection in neural progenitor cells using bioorthogonal non-canonical amino acid tagging
Han Kim, Parker lab
Investigating the reafferent chemosensory effects of an innate behavior
Sangjun Lee, Oka lab
Investigating the neural basis of need-free appetite
Zsofia Torok, Lois lab
The role of sleep in birdsong maintenance
2019 Awards
Wael N. El-Nachef, Bronner lab
Investigating Human Postnatal Enteric Neurogenesis by Radiocarbon Dating
Jonathan D. Kenny and Koichiro Kajikawa, Siapas lab
Neural circuit dynamics during general anesthesia
Kyu Hyun Lee, Meister lab
Investigating the role of cerebellum in cognition
Guruprasad Raghavan, Thomson lab and Varun Wadia, Graduate Chen Fellow, Tsao lab
Fabricating Cortical Computers
John Thompson, Hsieh-Wilson lab and Pachter lab
SUGAR-seq: A New Technology for Simultaneous Glycan and Gene Expression Profiling at the Single-Cell Level