• CAREER: Models and Algorithms for Comparative Analysis of Biological Networks
  Role: PI, Sponsor: National Science Foundation (NSF)
  Further info: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1447235

• Integrated management strategies for Aspergillus and Fusarium ear rots of corn
  Sponsor: US Department of Agriculture (USDA)

• EAGER: Identifying Blockmodel Functional Modules across Multiple Networks
  Role: Co-PI (PI: Xiaoning Qian, TAMU), Sponsor: National Science Foundation (NSF)
  Further info: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1149544
  
• Optimal Experimental Design of Biological Systems
  Sponsor: Department of Energy, Biological and Environmental Research
  
• DEDUCE: Differentiated Evaluation to Decrease Uncertainty in Computational Experiment
  Role: PI, Sponsor: Brookhaven National Laboratory, Laboratory Directed Research & Development Program
  
  
• AEOLUS: Advances in Experimental Design, Optimal Control, and Learning for Uncertain Complex Systems
  Role: Senior Personnel (Lead-PI: Omar Ghattas & Karen Wilcox, UT Austin)
  Sponsor: Department of Energy, Office of Advanced Scientific Computing Research
  Further info: https://aeolus.oden.utexas.edu/

• Engineering brain health using an adaptive wireless optogenetic neurostimulator
  Sponsor: Texas A&M University, President’s Excellence Fund (X-Grants)
  Further info: https://xgrants.tamu.edu/
  
• CRISPR Gene Editing for Healthier Foods and Improved Crop Resilience
  Sponsor: Texas A&M University, President’s Excellence Fund (X-Grants)
  Further info: https://xgrants.tamu.edu/
  
• In Silico Design of Immunogenic Sequences for Pan-Coronavirus Vaccine Development
  Role: PI, Sponsor: BPgene
  
• Autonomous, Robust, and Optimal In-Silico Experimental Design Platform for Accelerating Innovations in Materials Discovery
  Role: PI, Sponsor: National Science Foundation, Office of Advanced Cyberinfrastructure
  
• lncRNA Regulation of Intracellular Parasitism by Bacterial Biothreat Agents
  Sponsor: Defense Threat Reduction Agency
  
• Exploration of the Potential for Artificial Intelligence and Machine Learning to Advance Low-Dose Radiation Biology Research (RadBio-AI)
  Role: PI (Lead PI: Rick Stevens, ANL)
  Sponsor: Department of Energy, Biological and Environmental Research