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Hire Brianna C.

United States

USD 200 /hr

Genomics Consultant and Science Education Curriculum Developer

Profile Summary

I am a PhD student (degree expected 2022) at Stanford University studying computational genomics. I have experience in a variety of NGS platforms and analysis methods, including but not limited to WGS, metagenomics, 16S, exome, RNAseq, and microarray. I was previously a software engineer at Google, where I built machine learning models to aid in the ranking and pricing of search ads, and make use of common data science and machine learning workflows in my current work. I am also experienced in data visualization and scientific writing. I have consulted for various genomics and science education start-ups, and written curriculum for and taught several machine learning courses.

Subject Matter Expertise

• Expertise details not provided.

Services

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing, Copywriting, Newswriting

Research Market Research, Meta-Research, Gap Analysis, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Data Visualization, Data Processing, Data Insights

Product Development Formulation, Product Evaluation, Product Validation, Concept Development, Prototyping

Work Experience

Software Engineer

Google

August 2015 - August 2017

Education

MS in Bioengineering, PhD expected 2022

Stanford University

September 2017 - Present

BS in Biomedical Engineering, BS in Applied Physics

Yale University

September 2011 - May 2015

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Chrisman, Brianna Sierra, Paskov, Kelley M., He, Chloe, Jung, Jae-Yoon, Stockham, Nate, Washington, Peter Yigitcan, Wall, Dennis Paul(2022). A Method for Localizing Non-Reference Sequences to the Human Genome. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 27. p. 313–324.

Chrisman, Brianna S., Paskov, Kelley M., Stockham, Nate, Jung, Jae-Yoon, Varma, Maya, Washington, Peter Y., Tataru, Christine, Iwai, Shoko, DeSantis, Todd Z., David, Maude, et al.(2021). Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers . BMC bioinformatics. 22. (1). p. 509.

Chrisman, Brianna, Washington, Peter, Kalantarian, Haik, Kent, Jack, Husic, Arman, Kline, Aaron, Leblanc, Emilie, Hou, Cathy, Mutlu, Cezmi, Dunlap, Kaitlyn, et al.(2021). Training Affective Computer Vision Models by Crowdsourcing Soft-Target Labels . COGNITIVE COMPUTATION. SPRINGER

Varma, Maya, Paskov, Kelley M., Chrisman, Brianna S., Sun, Min Woo, Jung, Jae-Yoon, Stockham, Nate T., Washington, Peter Y., Wall, Dennis P.(2021). A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism . BioData mining. 14. (1). p. 28.

Chrisman, Brianna, Paskov, Kelley, Jung, Jae-Yoon, Stockham, Nate T., Washington, Peter, Varma, Maya, Sun, Min Woo, Wall, Dennis P.(2021). Estimating sequencing error rates using families . BioData mining. 14. (1). p. 27.

Chrisman, Brianna, Washington, Peter, Tariq, Qandeel, Leblanc, Emilie, Dunlap, Kaitlyn, Kline, Aaron, Kalantarian, Haik, Penev, Yordan, Paskov, Kelley, Voss, Catalin, et al.(2021). Crowdsourced privacy-preserved feature tagging of short home videos for machine learning ASD detection . Scientific reports. 11. (1). p. 7620.

Chrisman, Brianna Sierra, Paskov, Kelley, Stockham, Nate, Tabatabaei, Kevin, Jung, Jae-Yoon, Washington, Peter, Varma, Maya, Sun, Min Woo, Maleki, Sepideh, Wall, Dennis P.(2021). Indels in SARS-CoV-2 occur at template-switching hotspots . BioData mining. 14. (1). p. 20.

Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder. @article{washington_leblanc_dunlap_penev_varma_jung_chrisman_sun_stockham_paskov_et al._2021, title={Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder.}, volume={26}, journal={Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing}, author={Washington, Peter and Leblanc, Emilie and Dunlap, Kaitlyn and Penev, Yordan and Varma, Maya and Jung, Jae-Yoon and Chrisman, Brianna and Sun, Min Woo and Stockham, Nathaniel and Paskov, Kelley Marie and et al.}, year={2021}, pages={14–25}}. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

Chrisman, Brianna, Washington, Peter, Leblanc, Emilie, Dunlap, Kaitlyn, Penev, Yordan, Kline, Aaron, Paskov, Kelley, Sun, Min Woo, Stockham, Nathaniel, Varma, Maya, et al.(2020). Precision Telemedicine through Crowdsourced Machine Learning: Testing Variability of Crowd Workers for Video-Based Autism Feature Recognition . Journal of personalized medicine. 10. (3).

Sun, Min Woo, Moretti, Stefano, Paskov, Kelley M., Stockham, Nate T., Varma, Maya, Chrisman, Brianna S., Washington, Peter Y., Jung, Jae-Yoon, Wall, Dennis P.(2020). Game theoretic centrality: a novel approach to prioritize disease candidate genes by combining biological networks with the Shapley value . BMC bioinformatics. 21. (1). p. 356.

Brianna Chrisman, peter washington, Emilie Leblanc, Kaitlyn Dunlap, Yordan Penev, Aaron Kline, Kelley Paskov, Min Woo Sun, Nathaniel Stockham, Maya Varma, et al. (2020). Precision Telemedicine through Crowdsourced Machine Learning: Testing Variability of Crowd Workers for Video-Based Autism Feature Recognition . Journal of Personalized Medicine.

Feature Selection and Dimension Reduction of Social Autism Data. @article{washington_paskov_kalantarian_stockham_voss_kline_patnaik_chrisman_varma_tariq_et al._2020, title={Feature Selection and Dimension Reduction of Social Autism Data.}, volume={25}, journal={Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing}, author={Washington, Peter and Paskov, Kelley Marie and Kalantarian, Haik and Stockham, Nathaniel and Voss, Catalin and Kline, Aaron and Patnaik, Ritik and Chrisman, Brianna and Varma, Maya and Tariq, Qandeel and et al.}, year={2020}, pages={707–18}}. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

Chrisman, Brianna, Washington, Peter, Park, Natalie, Srivastava, Parishkrita, Voss, Catalin, Kline, Aaron, Varma, Maya, Tariq, Qandeel, Kalantarian, Haik, Schwartz, Jessey, et al.(2019). Data-Driven Diagnostics and the Potential of Mobile Artificial Intelligence for Digital Therapeutic Phenotyping in Computational Psychiatry . Biological psychiatry. Cognitive neuroscience and neuroimaging.

Chrisman, Brianna, Washington, Peter, Kalantarian, Haik, Tariq, Qandeel, Schwartz, Jessey, Dunlap, Kaitlyn, Varma, Maya, Ning, Michael, Kline, Aaron, Stockham, Nathaniel, et al.(2019). Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks . Journal of medical Internet research. 21. (5). p. e13668.

CONFERENCE PAPER

Feature Selection and Dimension Reduction of Social Autism Data @misc{washington_paskov_kalantarian_stockham_voss_kline_patnaik_chrisman_varma_tariq_et al._2020, title={Feature Selection and Dimension Reduction of Social Autism Data}, journal={PACIFIC SYMPOSIUM ON BIOCOMPUTING 2020}, publisher={WORLD SCIENTIFIC PUBL CO PTE LTD}, author={Washington, Peter and Paskov, Kelley Marie and Kalantarian, Haik and Stockham, Nathaniel and Voss, Catalin and Kline, Aaron and Patnaik, Ritik and Chrisman, Brianna and Varma, Maya and Tariq, Qandeel and et al.}, year={2020}, pages={707–718}}.

Varma, Maya, Paskov, Kelley Marie, Jung, Jae-Yoon, Chrisman, Brianna Sierra, Stockham, Nate Tyler, Washington, Peter Yigitcan, Wall, Dennis Paul, Altman, R. B., Dunker, A. K., Hunter, L., et al.(2019). Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder. PACIFIC SYMPOSIUM ON BIOCOMPUTING 2019. p. 260–71. WORLD SCIENTIFIC PUBL CO PTE LTD

Chrisman, Brianna, Varma, Maya, Washington, Peter, Paskov, Kelley, Stockham, Nate, Jung, Jae-Yoon, Wall, Dennis P., Zheng, H., Callejas, Z., Griol, D., et al.(2018). Analysis of Sex and Recurrence Ratios in Simplex and Multiplex Autism Spectrum Disorder Implicates Sex-Specific Alleles as Inheritance Mechanism. PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM). p. 1470–77. IEEE