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NeuroPharmacoGenetics Lab


Our laboratory is interested in the genetic basis of complex brain disorders, including genetic predisposition for alcoholism, drug use, and other compulsive behaviors, as well as molecular mechanisms underlying such neuro-sensory processes as neuropathic pain, analgesia, and diabetic neuropathy.  We use approaches of neuro-behavioral modeling, pharmacological intervention, genetic analysis, and machine learning-neural network.

Research Aim(s)

  • Genetic predisposition to alcoholism, drug abuse, and other compulsive behaviors in humans
  • Genetic factors influencing alcohol drinking in rodent models
  • Behavioral patterns of alcohol preference and social environment in rodent models
  • Molecular mechanisms of neuro-sensory processes, including pain, stress, and analgesia
  • Machine learning for data analysis and pattern identification

Active Research Projects

  • Rodent models of alcohol drinking, and influence by social environment and gender
  • Human genetic variations that impact alcohol drinking, drug use, and other compulsive behaviors
  • Brain-expressed genes associated with alcohol preference and relapse
  • Physiological analysis of spinal cord neuro-sensory systems in chronic neuropathic pain
  • Rodent models of analgesia with genetic and pharmacological therapeutics
  • Cell and rodent models to identify protein networks underlying chronic neuropathic pain and alcoholism
  • Rodent models to identify potential drugs for treating chronic neuropathic pain and alcoholism
  • Computational analysis of genetic impact in longitudinal alcoholism studies
  • Genetic and computational analysis of diabetic neuropathy and inflammation-mediated chronic pain
  • Machine learning algorithms for genetic and behavioral data analysis and pattern identification



Lei Yu, PhD

Arthur Tomie, PhD



Anitej Thamma

Annie Lin

Avi Kodali

Bairav Swamy

Esha Paghdal

Francisco del Campo

Ivana Albert

Justin Villani

Medha Satti

Nathan Do

Nikhil Shukla

Nora Abdelfattah

Saathvika Kaushik

Sanjana Pendharkar

Saram Siddiqui

Sidhika Jadra

Suveer Puthur

Tulip Sengupta

Umer Toor

Veeda Khan

Viraj Patel

Yash Patel