Area of research
Molecular Biology · Cellular and Molecular Neuroscience
Research interest
Research interests include Developmental Biology and Gene Regulation, Planarian Biology and Electrostimulation, Neurobiology and Insect Physiology Research, and CRISPR and Genetic Engineering.
Enhanced lipogenesis through Pparγ helps cavefish adapt to food scarcity
CRISPR-Cas13d Induces Efficient mRNA Knockdown in Animal Embryos
Changes in regeneration-responsive enhancers shape regenerative capacities in vertebrates
Vertebrate diapause preserves organisms long term through Polycomb complex members
Prospectively Isolated Tetraspanin+ Neoblasts Are Adult Pluripotent Stem Cells Underlying Planaria Regeneration
MiR-103 Controls Milk Fat Accumulation in Goat (Capra hircus) Mammary Gland during Lactation
Hox‐mediated regulation of <i>doublesex</i> sculpts sex‐specific abdomen morphology in <i>Drosophila</i>
Homeotic functions of the Teashirt transcription factor during adult <i>Drosophila</i> development
CRII: CIF: Exploiting, Modeling, and Leveraging Hidden Features in IoT for Efficient and Secure Communication
CAREER: Harnessing the Interplay of Morphology, Viscoelasticity, and Surface-Active Agents to Modulate Soft Wetting
CRII: CIF: Exploiting, Modeling, and Leveraging Hidden Features in IoT for Efficient and Secure Communication
PIPP Phase I: An End-to-End Pandemic Early Warning System by Harnessing Open-source Intelligence
Enhancing Programming and Machine Learning Education for Students with Visual Impairments through the Use of Compilers, AI and Cloud Technologies
Collaborative Research: SHF: Small: Exploiting Performance Correlations for Accurate and Low-cost Performance Testing for Serverless Computing
Collaborative Research: A Bioinspired Approach towards Sustainable Membranes for Resilient Brine Treatment
Collaborative Research: EAGER: Enhancing Security and Privacy of Augmented Reality Mobile Applications through Software Behavior Analysis
III: Medium: Collaborative Research: Collaborative Machine-Learning-Centric Data Analytics at Scale
QCIS-FF: A Software Stack for Quantum Computing
Collaborative Research; RUI: Non-Orthogonal Multiple Access Pricing for Wireless Multimedia Communications
RAPID: Dynamic Graph Neural Networks for Modeling and Monitoring COVID-19 Pandemic
SusChEM: Direct functionalization of aldehydes enabled by aminocatalysis
NeTS: EAGER: Exploring Smart Media Pricing In QoE-Driven Network Economics To Revitalize Wireless Multimedia Resource Allocation
NSF Student Support for the 2018 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018)
ABI Innovation: Next Generation Quantitative RNA Sequence Analysis
SusChEM: Direct functionalization of aldehydes enabled by aminocatalysis
Efficient high order methods for two multiscale problems
III: Student Travel Fellowships for Knowledge Discovery and Data Mining (KDD) 2015
NeTS: Small: Collaborative Research: Cross Layer Exploration of Position-Value Diversity for Energy Constrained Wireless Multimedia Resource Allocation
NeTS: Small: Collaborative Research: Cross Layer Exploration of Position-Value Diversity for Energy Constrained Wireless Multimedia Resource Allocation
Supporting US-Based Students to Attend the 2014 IEEE International Conference on Data Mining (ICDM 2014)
III: Medium: Collaborative Research: Toward Robust and Scalable Discovering of Significant Associations in Massive Genetic Data