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About


I am a computer science PhD student at UCLA, advised by Professor Eran Halperin. My interests lie at the intersection of machine learning and medicine. Currently, our research leverages electronic health records, physiological waveform signals, genomics, and medical imaging data to predict adverse health outcomes. Additionally, I am interested in the standardization of data formats/interfaces for EHR systems and genomic data, and the development of infrastructure to facilitate big data analyses in precision medicine.

Prior to UCLA, I received a degree in electrical and computer engineering from Oregon State University. My industry experience includes four years as an intern at Intel and three years as an engineer at Omics Data Automation, under the mentorship of Gans Srinivasa.

 


Publications


Google Scholar

2020

Mitchell, Keith; Brito, Jaqueline J; Mandric, Igor; Wu, Qiaozhen; Knyazev, Sergey; Chang, Sei; Martin, Lana S; Karlsberg, Aaron; Gerasimov, Ekaterina; Littman, Russell; Hill, Brian L; Wu, Nicholas C; Yang, Harry Taegyun; Hsieh, Kevin; Chen, Linus; Littman, Eli; Shabani, Taylor; Enik, German; Yao, Douglas; Sun, Ren; Schroeder, Jan; Eskin, Eleazar; Zelikovsky, Alex; Skums, Pavel; Pop, Mihai; Mangul, Serghei

Benchmarking of computational error-correction methods for next-generation sequencing data Journal Article

Genome Biology, 21 (1), pp. 1–13, 2020.

Links | BibTeX

Smith, Jaclyn M; Lathara, Melvin; Wright, Hollis; Hill, Brian; Ganapati, Nalini; Srinivasa, Ganapati; Denny, Christopher T

Advancing clinical cohort selection with genomics analysis on a distributed platform Journal Article

PLOS ONE, 15 (4), pp. 1-20, 2020.

Abstract | Links | BibTeX

Mandric, Igor; Hill, Brian L; Freund, Malika K; Thompson, Michael; Halperin, Eran

BATMAN: fast and accurate integration of single-cell RNA-Seq datasets via minimum-weight matching Journal Article

iScience, pp. 101185, 2020, ISSN: 2589-0042.

Abstract | Links | BibTeX

Goodman-Meza, David; Rudas, Akos; Chiang, Jeffrey N; Adamson, Paul C; Ebinger, Joseph; Sun, Nancy; Botting, Patrick; Fulcher, Jennifer A; Saab, Faysal G; Brook, Rachel; Eskin, Eleazar; An, Ulzee; Kordi, Misagh; Jew, Brandon; Balliu, Brunilda; Chen, Zeyuan; Hill, Brian L; Rahmani, Elior; Halperin, Eran; Manuel, Vladimir

A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity Journal Article

PLOS ONE, 15 (9), pp. 1-10, 2020.

Abstract | Links | BibTeX

2019

Mangul, Serghei; Martin, Lana S; Hill, Brian; Lam, Angela Ka-Mei; Distler, Margaret; Zelikovsky, Alex; Eskin, Eleazar; Flint, Jonathan

Systematic benchmarking of omics computational tools Journal Article

Nature Communications, 2019.

Abstract | Links | BibTeX

Mangul, Serghei; Mosqueiro, Thiago; Abdill, Richard J; Duong, Dat; Mitchell, Keith; Sarwal, Varuni; Hill, Brian; Brito, Jaqueline; Littman, Russell Jared; Statz, Benjamin; Lam, Angela Ka-Mei; Dayama, Gargi; Grieneisen, Laura; Martin, Lana S; Flint, Jonathan; Eskin, Eleazar; Blekhman, Ran

Challenges and recommendations to improve the installability and archival stability of omics computational tools Journal Article

PLOS Biology, 17 (6), pp. 1-16, 2019.

Abstract | Links | BibTeX

Hill, Brian L; Brown, Robert; Gabel, Eilon; Rakocz, Nadav; Lee, Christine; Cannesson, Maxime; Baldi, Pierre; Loohuis, Loes Olde; Johnson, Ruth; Jew, Brandon; Maoz, Uri; Mahajan, Aman; Sankararaman, Sriram; Hofer, Ira; Halperin, Eran

An automated machine learning-based model predicts postoperative mortality using readily-extractable preoperative electronic health record data Journal Article

British Journal of Anaesthesia, 2019, ISSN: 0007-0912.

Abstract | Links | BibTeX

Smith, Jaclyn M; Lathara, Melvin; Wright, Hollis; Hill, Brian; Ganapati, Nalini; Srinivasa, Ganapati; Denny, Christopher T

Preprint: Advancing clinical cohort selection with genomics analysis on a distributed platform Unpublished

2019.

Abstract | Links | BibTeX

2018

Hill, Brian; Brown, Robert P; Gabel, Eilon; Lee, Christine; Cannesson, Maxime; Loohuis, Loes Olde; Johnson, Ruth; Jew, Brandon; Maoz, Uri; Mahajan, Aman; Sankararaman, Sriram; Hofer, Ira; Halperin, Eran

Preprint: Preoperative predictions of in-hospital mortality using electronic medical record data Unpublished

2018.

Abstract | Links | BibTeX

Mangul, Serghei; Mosqueiro, Thiago; Duong, Dat; Mitchell, Keith; Sarwal, Varuni; Hill, Brian; Brito, Jaqueline; Littman, Russell; Statz, Benjamin; Lam, Angela; Dayama, Gargi; Grieneisen, Laura; Martin, Lana; Flint, Jonathan; Eskin, Eleazar; Blekhman, Ran

Preprint: A comprehensive analysis of the usability and archival stability of omics computational tools and resources Unpublished

2018.

Abstract | Links | BibTeX

2017

Hill, B; Smith, J; Srinivasa, G; Sonmez, K; Sirasao, A; Gupta, A; Mukherjee, M

Precision medicine and FPGA technology: Challenges and opportunities Inproceedings

2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 655-658, 2017, ISSN: 1558-3899.

Abstract | Links | BibTeX