Michael X. Wang

6th Year Bioengineering Ph.D. student. Lead developer of Olivar.

Michael (6th year PhD candidate, Bioengineering) obtained a B.E. degree in Biomedical Engineering from Tsinghua University in 2019. During his undergraduate, he did research in developing multiplexed droplet digital PCR (ddPCR) assays with Dr. Yong Guo. Before joining the Treangen Lab in 2022, he worked on design and optimization of multiplexed NGS assays with Dr. David Y. Zhang (Xie et al., 2022; Wu et al., 2022; Zhang et al., 2021). His primary research interest is algorithms for multiplexed primer and probe design, under the setting of wastewater pathogen surveillance (Wang et al., 2024; Wu et al., 2024; Wolken et al., 2024). Michael likes playing all kinds of sports and loves music.

Michael is supported by CDC award (75D30122C14709) and NSF CAREER (IIS 2239114).

References

2024

  1. Olivar: towards automated variant aware primer design for multiplex tiled amplicon sequencing of pathogens
    Michael X Wang, Esther G Lou, Nicolae Sapoval, and 8 more authors
    Nature Communications, 2024
  2. Multiplexed detection, partitioning, and persistence of wild type and vaccine strains of measles, mumps, and rubella viruses in wastewater
    Jingjing Wu, Michael X Wang, Prashant Kalvapalle, and 6 more authors
    medRxiv, 2024
  3. PreK-12 school and citywide wastewater monitoring of the enteric viruses astrovirus, rotavirus, and sapovirus
    Madeline Wolken, Michael Wang, Julia Schedler, and 5 more authors
    Science of The Total Environment, 2024

2022

  1. Designing highly multiplex PCR primer sets with simulated annealing design using dimer likelihood estimation (SADDLE)
    Nina G Xie, Michael X Wang, Ping Song, and 6 more authors
    Nature communications, 2022
  2. Ensemble of nucleic acid absolute quantitation modules for copy number variation detection and RNA profiling
    Lucia Ruojia Wu, Peng Dai, Michael Xiangjiang Wang, and 8 more authors
    Nature communications, 2022

2021

  1. A deep learning model for predicting next-generation sequencing depth from DNA sequence
    Jinny X Zhang, Boyan Yordanov, Alexander Gaunt, and 8 more authors
    Nature communications, 2021