Applied Scientist II @ Amazon Applied Machine Learning Scientist on the Smart Home Machine Learning team at Amazon. I design and build machine learning services that run at scale. From November 2017 to November 2019 (2 years 1 month) Greater Seattle AreaResearch Assistant @ Brown University I performed wet lab experiments in Alex Brodsky's cancer genomics lab....
Applied Scientist II @ Amazon Applied Machine Learning Scientist on the Smart Home Machine Learning team at Amazon. I design and build machine learning services that run at scale. From November 2017 to November 2019 (2 years 1 month) Greater Seattle AreaResearch Assistant @ Brown University I performed wet lab experiments in Alex Brodsky's cancer genomics lab. From 2006 to 2008 (2 years) Sr. Machine Learning Engineer @ Phyn Phyn is a startup developing sensors that are installed at a single point in plumbingsystems. My team built a Python/AWS machine learning platform to characterizewater use and identify leaks from streaming sensor data in real time.Personal Accomplishments:• Reduced the number of false positive leak alerts by 90% by developing a systemthat continuously learns building-specific usage patterns from user responses to leak alerts • Led the development of algorithms to classify water usage into fixture categories• Designed and drove implementation of the serverless software architecture for feature extraction and fixture classification• Led the code integration, testing, and deployment of algorithms to AWS cloud services From November 2016 to November 2017 (1 year 1 month) Seattle, WAPhD, Biomedical Informatics @ Stanford University Developed broad technical skills in big data computing, applied statistics, and machine learning. My primary application domain was biology and medicine.I built an open-source method for analyzing underpowered genome-wide data using a network-based approach that identifies clusters of concentrated signal in a node- and edge-weighted input graph. The R package is available at https://simtk.org/projects/stams and the paper (also open access) is the first in the list below.I TAed Biomedin214:Representations and Algorithms for Computational Molecular Biology and co-taught Biomedin224:Pharmacogenomics.Publications:STAMS: STRING-Assisted Module Search for Genome Wide Association Studies and Application to Autism. Hillenmeyer S, Davis LK, Gamazon ER, Cook EH, Cox NJ, Altman RB (2016). Bioinformatics. https://academic.oup.com/bioinformatics/article-lookup/doi/10.1093/bioinformatics/btw530Genetic variant in folate homeostasis is associated with lower warfarin dose in African AmericansDaneshjou, R. et. al. Blood 2014; 124 (14): 2298-2305Personal omics profiling reveals dynamic molecular and medical phenotypes.Chen R, et al. Cell. 2012 Mar 16;148(6):1293-307. From 2010 to September 2016 (6 years) Stanford, CAData Analyst @ Brown University Genomic data analysis for the Helfand, Brodsky, and Sedivy labs.Publications:Genomes of replicatively senescent cells undergo global epigenetic changes leading to gene silencing and activation of transposable elements. Cecco M, Criscione SW, Peckham EJ, Hillenmeyer S, Hamm EA, Manivannan J, Peterson AL, Kreiling JA, Neretti N, Sedivy JM. Aging Cell. 2013 Apr 1;12(2):247-256.T0901317 inhibits cisplatin-induced apoptosis in ovarian cancer cells [corrected].Miller DH, Fischer AK, Chu KF, Burr R, Hillenmeyer S, Brard L, Brodsky AS.Int J Gynecol Cancer. 2011 Nov;21(8):1350-6. Erratum in: Int J Gynecol Cancer. 2011 Dec;21(9):1711.Integrated genomics of ovarian xenograft tumor progression and chemotherapy response.Stuckey A, Fischer A, Miller DH, Hillenmeyer S, Kim KK, Ritz A, Singh RK, Raphael BJ, Brard L, Brodsky AS. BMC Cancer. 2011 Jul 22;11:308.Chromatin remodeling in the aging genome of Drosophila.Wood JG, Hillenmeyer S, Lawrence C, Chang C, Hosier S, Lightfoot W, Mukherjee E, Jiang N, Schorl C, Brodsky AS, Neretti N, Helfand SL.Aging Cell. 2010 Dec;9(6):971-8. Estrogen coordinates translation and transcription, revealing a role for NRSF in human breast cancer cells.Bronson MW, Hillenmeyer S, Park RW, Brodsky AS.Mol Endocrinol. 2010 Jun;24(6):1120-35. From 2008 to 2010 (2 years) Senior Applied Scientist @ Amazon I manage a team of engineers, applied scientists, and data scientists in Smart Home Machine Learning. We focus on ranking, recommendation, real-time contextual embeddings, and deep insights into product data.My expertise is in big data processing (distributed computing, Spark), problem framing, experimental design, deep learning NLP techniques, and personalized behavioral models that run at scale. Seattle
Applied Scientist II
November 2017 to November 2019
Greater Seattle Area
2006 to 2008
Sr. Machine Learning Engineer
November 2016 to November 2017
PhD, Biomedical Informatics
2010 to September 2016
2008 to 2010
Senior Applied Scientist
Applied Machine Learning Scientist on the Smart Home Machine Learning team at Amazon. I design and build machine learning services that run at scale. Applied Machine Learning Scientist on the Smart Home Machine Learning team at Amazon. I design and build machine learning services that run at scale.
What company does Sara Hillenmeyer work for?
Sara Hillenmeyer works for Amazon
What is Sara Hillenmeyer's role at Amazon?
Sara Hillenmeyer is Applied Scientist II
What industry does Sara Hillenmeyer work in?
Sara Hillenmeyer works in the Internet industry.
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