I graduated with a PhD in the department of computing science @SFU (CGPA: 4.33/4.33) under the supervision of Cedric Chauve, Maxwell Libbrecht, and Ryan Brinkman. Previously, I recieved my MSc @SFU (CGPA: 4/4.33) and my BSc with distinction @UVic (CGPA: 8.7/9.0) in the beautiful city of Victoria.
Research interests
I develop machine learning, data mining, and statistical analysis methods for big and graph-structured single-cell biological data: flow cytometry ❤, mass spectrometry, scRNAseq, bulk RNAseq, and DNA.
Publications
Yue, Alice. “Computational methods for cytometry.” Applied Sciences: School of Computing Science; Simon Fraser University, 2022.
Yue, Alice, et al. “Automated Identification of Maximal Differential Cell Populations in Flow Cytometry Data.” Cytometry Part A, 2022, vol. 101, no.2, doi:10.1002/cyto.a.24503.
@article{yue2022automated,
title={Automated identification of maximal differential cell populations in flow cytometry data},
author={Yue, Alice and Chauve, Cedric and Libbrecht, Maxwell W and Brinkman, Ryan R},
journal={Cytometry Part A},
volume={101},
number={2},
pages={177--184},
year={2022},
publisher={Wiley Online Library}
}
Abeler-Dörner, Lucie, et al. “High-Throughput Phenotyping Reveals Expansive Genetic and Structural Underpinnings of Immune Variation.” Nature Immunology, vol. 21, no. 1, Nature Publishing Group, 2020, pp. 86–100, doi:10.1038/s41590-019-0549-0.
@article{abeler2020high,
title = {High-throughput phenotyping reveals expansive genetic and structural underpinnings of immune variation},
author = {Abeler-D{\"o}rner, Lucie and Laing, Adam G and Lorenc, Anna and Ushakov, Dmitry S and Clare, Simon and Speak, Anneliese O and Duque-Correa, Maria A and White, Jacqueline K and Ramirez-Solis, Ramiro and Saran, Namita and others},
journal = {Nature Immunology},
volume = {21},
number = {1},
pages = {86--100},
year = {2020},
publisher = {Nature Publishing Group},
doi = {10.1038/s41590-019-0549-0}
}
Yue, Alice, et al. “Identifying Differential Cell Populations in Flow Cytometry Data Accounting for Marker Frequency.” Poster and Spotlight Presentation at the 14th Machine Learning in Computational Biology (MLCB) Conference, Previously a Workshop of NeurIPS, 2019.
@conference{yue2019identifying,
title = {Identifying differential cell populations in flow cytometry data accounting for marker frequency},
author = {Yue, Alice and Chauve, Cedric and Libbrecht, Maxwell and Brinkman, Ryan},
booktitle = {poster and spotlight presentation at the 14th Machine Learning in Computational Biology (MLCB) conference, previously a workshop of NeurIPS},
year = {2019},
month = dec
}
Rajasekaran, Ashwini, et al. “Cholinergic Synapse Pathway Gene Polymorphisms Associated with Allergen-Induced Late Asthmatic Responses.” ERJ Open Research, vol. 5, no. 4, Eur Respiratory Soc, November 2019, doi:10.1183/23120541.00107-2019.
@article{rajasekaran2019cholinergic,
title = {Cholinergic synapse pathway gene polymorphisms associated with allergen-induced late asthmatic responses},
author = {Rajasekaran, Ashwini and He, Daniel and Yue, Alice and Singh, Amrit and Shannon, Casey P and FitzGerald, J Mark and Boulet, Louis-Philippe and O'Byrne, Paul M and Gauvreau, Gail M and Tebbutt, Scott J},
journal = {ERJ open research},
volume = {5},
number = {4},
year = {2019},
month = nov,
publisher = {Eur Respiratory Soc},
doi = {10.1183/23120541.00107-2019}
}
Cossarizza, Andrea, et al. “Guidelines for the Use of Flow Cytometry and Cell Sorting in Immunological Studies.” European Journal of Immunology, vol. 49, no. 10, Wiley Online Library, 2019, pp. 1457–973, doi:10.1002/eji.201970107.
@article{cossarizza2019guidelines,
title = {Guidelines for the use of flow cytometry and cell sorting in immunological studies},
author = {Cossarizza, Andrea and Chang, Hyun-Dong and Radbruch, Andreas and Acs, Andreas and Adam, Dieter and Adam-Klages, Sabine and Agace, William W and Aghaeepour, Nima and Akdis, M{\"u}beccel and Allez, Matthieu and others},
journal = {European journal of immunology},
volume = {49},
number = {10},
pages = {1457--1973},
year = {2019},
publisher = {Wiley Online Library},
doi = {10.1002/eji.201970107}
}
Rahim, Albina, et al. “High Throughput Automated Analysis of Big Flow Cytometry Data.” Methods, vol. 134, Elsevier, 2018, pp. 164–76, doi:10.1016/j.ymeth.2017.12.015.
@article{rahim2018high,
title = {High throughput automated analysis of big flow cytometry data},
author = {Rahim, Albina and Meskas, Justin and Drissler, Sibyl and Yue, Alice and Lorenc, Anna and Laing, Adam and Saran, Namita and White, Jacqui and Abeler-D{\"o}rner, Lucie and Hayday, Adrian and others},
journal = {Methods},
volume = {134},
pages = {164--176},
year = {2018},
publisher = {Elsevier},
doi = {10.1016/j.ymeth.2017.12.015}
}
Yue, Alice. “Feature-Based Comparison of Flow Cytometry Data.” Applied Sciences: School of Computing Science; Simon Fraser University, 2017.
@mastersthesis{yue2017feature,
title = {Feature-based Comparison of Flow Cytometry Data},
author = {Yue, Alice},
year = {2017},
school = {Applied Sciences: School of Computing Science},
pdf = {http://summit.sfu.ca/system/files/iritems1/17604/etd10296_AYue.pdf}
}
Cossarizza, Andrea, et al. “Guidelines for the Use of Flow Cytometry and Cell Sorting in Immunological Studies.” European Journal of Immunology, vol. 47, no. 10, Wiley Online Library, 2017, pp. 1584–797.
@article{cossarizza2017guidelines,
title = {Guidelines for the use of flow cytometry and cell sorting in immunological studies},
author = {Cossarizza, Andrea and Chang, Hyun-Dong and Radbruch, Andreas and Akdis, M{\"u}beccel and Andr{\"a}, Immanuel and Annunziato, Francesco and Bacher, Petra and Barnaba, Vincenzo and Battistini, Luca and Bauer, Wolfgang M and others},
journal = {European journal of immunology},
volume = {47},
number = {10},
pages = {1584--1797},
year = {2017},
publisher = {Wiley Online Library}
}
Delivered assignments, quizzes, and lecture material for the course.
Summer 2021Contractor, faculty of applied science, SFU
Developed introductory programming material for the START program created to welcome entering undergraduate students.
Fall 2018Guest lecturer, CMPT 884 (data mining seminar), SFU
Presented research projects.
2018 - 2020Teaching assistant, faculty of applied science, SFU
Led tutorials and office hours, marked assignments and quizzes, curated student feedback.
Courses: CMPT 105 (technical writing; Fall 2019), 120 (introduction to computing science; Spring 2018, Fall 2020), and 225 (data structures; Fall 2018)
2018, 2019Mentor, AI4All Invent the Future Scholars Program, SFU
Mentored and created projects for the bioinformatics group during the first and second annual summer enrichment program for high school girls in Canada.
Sucessfully re-initiated and created administrative structure to an inactive caucus. Provided oversight, and organized social and academic events for the student body;
e.g. general meetings, lunch social, facuty candidate seminar lunch, game night, logo contest, amenity cleaning socials, buddy program for new students.
Acted as the liason between the school, GSS (graduate student society), TSSU, and the student body.