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Published in Journal of Bio-X, 2019
Recommended citation: Li, Gang, et al. "Dropout imputation and batch effect correction for single-cell RNA sequencing data." Journal of Bio-X Research 2.4 (2019): 169-177. https://journals.lww.com/jbioxresearch/Fulltext/2019/12000/Dropout_imputation_and_batch_effect_correction_for.4.aspx
Published in Briefings in Bioinformatics, 2020
Recommended citation: Yuchen Yang, Gang Li, Huijun Qian, Kirk C Wilhelmsen, Yin Shen, Yun Li, SMNN: batch effect correction for single-cell RNA-seq data via supervised mutual nearest neighbor detection, Briefings in Bioinformatics , , bbaa097, https://doi.org/10.1093/bib/bbaa097 https://doi.org/10.1101/672261
Published in Stat, 2020
Recommended citation: Li, G, Hannig, J. Deep fiducial inference. Stat. 2020;e308. https://doi.org/10.1002/sta4.308 https://doi.org/10.1002/sta4.308
Published in Epigenetics, 2020
Recommended citation: Gang Li, Laura Raffield, Mark Logue, Mark W. Miller, Hudson P. Santos Jr, T. Michael O’Shea, Rebecca C. Fry & Yun Li (2020) CUE: CpG impUtation ensemble for DNA methylation levels across the human methylation450 (HM450) and EPIC (HM850) BeadChip platforms, Epigenetics, DOI: 10.1080/15592294.2020.1827716 https://doi.org/10.1080/15592294.2020.1827716
Published in Briefings in Bioinformatics, 2021
Recommended citation: Yang, Y., Li, G., Xie, Y., Wang, L., Lagler, T. M., Yang, Y., Liu, J., Qian, L., & Li, Y. (2021). iSMNN: batch effect correction for single-cell RNA-seq data via iterative supervised mutual nearest neighbor refinement. Briefings in bioinformatics, bbab122. Advance online publication. https://doi.org/10.1093/bib/bbab122 https://pubmed.ncbi.nlm.nih.gov/33839756/
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Presented at 2018 American Society of Human Genetics Annual Meeting. See more info here. This is a joint work with Prof. Yun Li et. al.
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Presented at Sixth Bayesian, Fiducial, and Frequentist (BFF6) Conference on Model Uncertainty. This is a joint work with Prof. Jan Hannig.
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Presented at 2019 MUMS Transition Workshop and SPUQ. See my slides on SAMSI website. This is a joint work with Prof. Jan Hannig.
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Received Student and Early-Career Travel Award!
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Presented at The 2019 ICSA China Conference. This is a joint work with Prof. Yun Li et. al.
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Presented at 2019 American Society of Human Genetics Annual Meeting. This is a joint work with Prof. Yun Li et. al.
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2020 Conference on Statistical Practice. This is a joint work with Prof. Yun Li et. al.
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Presented at 2020 Eastern North American Region Spring Meeting. This is a joint work with Prof. Yun Li et. al.
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Presented at 2020 JSM. This is a joint work with Prof. Yun Li et. al.
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Presented at 2020 American Society of Human Genetics Annual Meeting. Our abstract has been selected as reviewer’s choice (~10%). This is a joint work with Prof. Yun Li et. al.
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Gang successfully passed the public oral defense.
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Gang presented at UW 4D-Genome Meeting.
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Gang presented at 2021 4DN Annual Meeting .
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Gang presented at 2022 UW GS postdoctoral seminar.
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Gang was invited to give a talk, “Integration of imaging and sequencing data in the context of visual cell sorting”, at 2022 HSPH Program in Quantitative Genomics Seminar.
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Gang was invited to give a talk, “Integration of imaging and sequencing data in the context of visual cell sorting”, at The 5th International Conference on Econometrics and Statistics(EcoStat 2022).
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Gang presented at 2022 WA GS retreat.
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Gang presented at 2022 4DN annual meeting.
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Gang was invited to give a talk at the 8th Young Statistician Forum at Shanghai University of Finance and Economics.
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Gang presented at 2023 UW CMB Annual Meeting.
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Gang presented at UW 4D-Genome Meeting.
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Gang presented at 2023 Statistical Genetics Symposium.
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Gang presented at 2023 UW CMB Annual Meeting.
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Gang presented at 2023 MLCB.
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Gang presented at 2023 4DN annual meeting.
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Gang was invited to give a talk at 2023 Computational and Methodological Statistics meeting.
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Gang presented at UW 4D-Genome Meeting.
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Gang presented at UW 4D-Genome Meeting.
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Gang was invited to give a talk at 7th International Conference on Econometrics and Statistics(EcoStat 2024).
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Gang presented at 2024 MLCB.
Undergraduate course, UNC at Chapel Hill, STOR, 2017
Served as a teaching assistant, graded the homework for the course.
Undergraduate course, UNC at Chapel Hill, STOR, 2020
Served as a teaching assistant for 4 sections (>300 students). Held office hours and tutorial sessions every week.
Undergraduate course, UNC at Chapel Hill, STOR, 2020
Served as a teaching assistant for 2 sections (>100 students). Held office hours and tutorial sessions weekly.
Undergraduate course, UNC at Chapel Hill, STOR, 2020
Served as a teaching assistant. Held office hours weekly and graded homework.
Graduate course, UNC at Chapel Hill, 2020
Invited to give a lecture on DNA methylation imputation.
Graduate course, UNC at Chapel Hill, STOR, 2021
Served as a teaching assistant. Graded homeworks and held office hours weekly. First graduate-level computation course in STOR department in my Ph.D. study. I am excited to be part of it.