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2023 Faculty lightning talks

Posted by on Monday, June 19, 2023 in News.

Each year, as part of our weekly seminar series, some of our faculty members participate in lightning talks, sharing their areas of interest, current research projects, and potential collaboration opportunities for members of our graduate program. Our master’s and doctoral students gain exposure to different avenues of investigation and ideas for projects that can contribute to their theses or dissertations.

Here are the faculty members who participated in the 2023 talks and their current research focuses:

Yaomin Xu

  • Knowledge discovery for precision medicine
  • From multi-omics data to bedside
  • Scalable statistical and computational methods
  • Multivariate data analysis and visualization
  • High-performance, cloud-native solutions
  • AI models
  • Diseases (including cancers, myeloproliferative neoplasms, childhood asthma, drug-induced immune response, and more)
  • Omics

Siyuan Ma

  • Biostatistical methods
  • Statistical computing
  • Software implementation
  • Asthma/wheezing (environmental exposures, geospatial correlation)
  • Colorectal cancer (markers for prognosis/treatment response, protein colocalization, spatial proteomics)

Simon Vandekar

  • Psychology and psychiatry
  • Neuroimaging
  • Colon cancer
  • Multiplexed imaging
  • Semiparametrics
  • Effect sizes
  • Longitudinal models
  • Mixture models

Panpan Zhang

  • Alzheimer’s disease
  • Longitudinal models
  • R programming

Jinyuan Liu

  • Mental health
  • Neuroimaging
  • Psychometrics
  • mHealth (wearables)
  • Omics

Jonathan Schildcrout

  • Longitudinal data
  • Epidemiological study designs
  • Research methods that use existing data to┬áselect a subset that maximizes observed response and exposure variability

Amir Asiaee

  • Predicting results of perturbation
  • Fairness in machine learning

Frank Harrell

  • Development of accurate prognostic and diagnostic models
  • R programming
  • Descriptive analysis 
    "Open problem 2" slide from Jinyuan Liu's lightning talk, featuring a light bulb with hand-drawn rays and outline of a causal mediation effects challenge
    Slide from Jinyuan Liu’s lightning talk


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