David He

Dr. David He is a staff anesthesiologist in the Department of Anesthesia and Pain Management at Mount Sinai Hospital, Sinai Health System. Dr. He obtained his BSc in Computer Science from the University of British Columbia (2002), his PhD in Molecular Genetics (Bioinformatics) from the University of Toronto (2011), and his MD from Queen’s University (2015). He completed his postgraduate anesthesia residency training at the University of Toronto (2020) and his obstetrical anesthesia fellowship at Mount Sinai Hospital, Sinai Health System (2020-2021). His clinical area of focus is in obstetrical anesthesia and his academic focus is in perioperative informatics, creating a robust perioperative data framework to facilitate research and quality improvement projects.

Recent Publications

1. He D, Grant B, Hoden RR, Gilron I. Methodology for self-report of rest pain (or spontaneous pain) vs evoked pain in chronic neuropathic conditions: a prospective observational pilot study. Pain Reports 2.2. (2017):e587.

2. He D, Miao M, Sitarz EE, Muiznieks LD, Reichheld S, Stahl R, Parkinson J. Polymorphisms in the Human Tropoelastin Gene Modify In Vitro Self-Assembly and Mechanical Properties of Elastin-Like Polypeptides. PLOS ONE. 2012;7(9):e46130.

3. He D, Parkinson J. A graph-based approach for the detection and identification of repetitive elements in low-complexity sequences. Bioinformatics. 2008;24(7):1016-1017.

4. Aznarez I, Barash Y, Shai O, He D, Zielenski J, Tsui LC, Parkinson J, Frey BJ, Rommens JM, Blencowe BJ. A systematic analysis of intronic sequences downstream of 5' splice sites reveals a widespread role for U-rich motifs and TIA1/TIAL1 proteins in alternative splicing regulation. Genome Research. 2008;18(8):1247-1258.

5. He D, Chung M, Chan E, Alleyne T, Ha K, Miao M, Stahl R, Keeley F, Parkinson J. Comparative genomics of elastin: Sequence analysis of a highly repetitive protein. Matrix Biol. 2007;26(7):524-40. 6. Shah SP, He DY, Sawkins JN, Druce JC, Quon G, Lett D, Zheng GX, Xu T, Ouellette BF (Pegasys: software for executing and integrating analyses of biological sequences. BMC Bioinformatics. 2004;19;5:40.