Principal Investigator
Daniel P. Howsmon
Interrogating cellular and clinical time course data with mechanistic and data-driven strategies, Daniel is leading a team to elucidate dynamic systems at multiple scales to help patients today and provide pathways for the improved therapies of the future.
Graduate Students
Mahmoud M. Abdullah
Merging cell culture with mechanistic modeling, Mahmoud is elucidating crosstalk mechanisms that contribute to fibrosis mechanisms in the heart.
Maryam Vaez
Employing advanced data science models to clinical hemodynamics and vital signs, Maryam is building advanced alarm systems for postoperative monitoring.
Undergraduate Students
Allie Stormer
Translating process monitoring algorithms to the clinic, Allie is using multivariate statistics to model patient recovery dynamics and detect unwanted deviations.
Charlie Everhart
Curating impulsive noise and integrating clinical notes, Charlie is identifying noise characteristics of clinical hemodynamic data.
Brady Dulitsky
Incorporating sex hormones into cytokine signal transduction, Brady is developing sex-specific signaling networks relevant to calcific aortic valve disease.