Ran Liu Email and Phone Number

• Causal inference of effects of time series exposures on postoperative pain trajectories. Modeling of the effects of timing of intraoperative opioid administration on postoperative pain and opioid use outcomes.• Modeling of postoperative pain trajectories and responsiveness of pain to opioid administration using pharmacokinetic-pharmacodynamic modeling, continuous-time state space models, and neural ODEs.• Developed software tools for signal processing of EEG and health time series data using state space models.• Mentored PhD students, clinicians, and lab staff in machine learning and statistical methodology.• Developed interpretable models of patient state evolution with respect to opioid prescription and usage.• Modeled events and contributing factors preceding opioid prescribing discrepancies or adverse outcomes.

• NIH NRSA Postdoctoral Fellowship recipient (1F32GM148114-01): "Model-based optimization of pain management in surgical patients"• Postdoc with Patrick Purdon in the department of Anesthesia, Critical Care, and Pain Medicine• Studied causal effects of intraoperative analgesia on postoperative pain and opioid use.• Developed machine learning models for preoperative prediction of postsurgical adverse outcomes.

• Published 7 papers, 3 first-author journal papers, 1 first-author conference paper, 1 preprint.• Supervised and advised undergraduate and graduate students on research projects.• Developed machine learning models for stratification and subtyping of sepsis patients.• Applied natural language processing methods to clinical notes to improve sepsis predictions.• Studied and compared patterns of pathophysiology in pediatric sepsis with those in adult sepsis.• Applied reinforcement learning for optimal AI hemodynamic treatment policies in sepsis patients.

• Applied machine learning and statistical methods for early prediction of septic shock• Worked with EHR data, wrote software to facilitate collection of ICU physiological monitoring data using OpenTSDB

• Conducted research in synthetic organic methods.• Synthesized substrates, ran experiments on novel directed fluorinations of organic compounds.• Purified reaction products, characterized products and measured yield using NMR spectroscopy.• Elucidated reaction mechanisms using isodesmic computations in Spartan and Gaussian.

• Built statistical models of lncRNA binding site selectivity using large datasets from high-throughput sequencing technologies including ChIP-seq and ChiRP-seq.• Used computational genomic research tools (Bowtie for alignment, Jellyfish for k-mer counting) to process and analyze large genomic databases.