About Me

I am a Master of Science in Biostatistics graduate from the Harvard T.H. Chan School of Public Health. I currently work full-time at Siemens Healthineers as a Biostatistician. In May of 2017, I graduated with a B.S. in Public Health with a concentration in Biostatistical Studies and a Minor in Mathematics from the University of Massachusetts, Amherst. Most of my experience revolves around statistical programming and analysis: I am an advanced programmer in R and SAS statistical programming languages, with intermediate skills in SQL, Tableau, HTML, CSS, and STATA. I am highly skilled at developing interactive R Shiny web applications and tools, as well as polished R Markdown reports. Statistical methodology, clinical trials, data science, data visualization, and machine learning are also my areas of expertise.

Contact Details

Nathan Hall
24 Colgate Rd
Apartment 3
Roslindale, MA 02131 US
(978) 799-1560
https://nathanh36.github.io/nehall_biostatistician/

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Education

Harvard T.H. Chan School of Public Health

Master of Science in Biostatistics • March 2019

GPA: 3.81/4.00

University of Massachusetts, Amherst

Bachelor of Science in Public Health • May 2017

Minor in Mathematics with a concentration in Biostatistical Studies.
GPA: 3.81/4.00

Research

Boston University School of Public Health, Department of Biostatistics

Summer Institute for Training in Biostatistics - Scholarship • June 2016 - July 2016

  • • Engaged in program modules in biostatistics, epidemiology, clinical trials, statistical genetics, and training in data analysis.
  • • Analyzed multiple data sets, primarily consisting of data collected from the Framingham Heart and Jackson Heart Studies.
  • • Conducted analyses of variance, chi-square tests, and multiple linear and logistic regression analyses.

Work

Siemens Healthineers

Biostatistician • January 2019 - Present

  • • Conduct statistical studies to generate data and insights used to innovate, plan and support improved healthcare.
  • • Prepare analysis plans and advanced code via SAS and R statistical programming software to identify, analyze, and interpret trends and patterns in complex data sets.
  • • Advise and assist clients in determining the appropriate analytical methodology to meet their needs and objectives.
  • • Analyze clinical trial data and help develop the statistical portion of FDA submittals.

Massachusetts General Hospital Biostatistics Center

Biostatistics Intern • May 2018 - December 2018

  • • Collaborated with Dauten Family Center for Bipolar Treatment Innovation investigators to determine appropriate statistical methods for numerous projects and studies, including the MoodNetwork (MN) project, Cross Patient Powered Research Network comparative effectiveness project, and the Healthy Hearts Healthy Minds study.
  • • Developed and executed advanced statistical programs via both SAS and R statistical programming software to analyze data and prepare data displays/visualizations for each of the aforementioned projects and studies.
  • • Theorized novel statistical methodologies and analysis plans using real-world data for the development of a masters-level thesis at the Harvard T.H. Chan School of Public Health.
    • - The thesis, titled “Using Random Forests to Multiply Impute Data in an Online Patient-Centered Support Platform”, focuses on utilizing the machine learning technique of random forests and multiple imputation to predict missing values resulting from real-world data from the MN in order to perform any type of subsequent analysis desired.

Concord Biomedical Sciences and Emerging Technologies

Data Analyst • May 2017 - January 2018

  • • Created and developed comprehensive statistical summary reports and novel programs via R statistical programming software.
  • • Visualized pertinent study-specific data via graphical and tabular methods for presentation within reports produced for the sponsors and upper management.
  • • Cross-collaborated with pathologists, principal investigators, chief scientists, and medical writers to summarize key findings and generate new insights on preclinical data.

Skills

In addition to the programming languages below, I have advanced data visualization capabilities and an innate aptitude to learn new skills very quickly. I am very familiar with a number of statistical and data science techniques, including (but not limited to): regression modeling, data science, machine learning (random forests, gradient boosting machines, neural networks, etc.), clinical trials, statistical process control & Six Sigma, statistical methodology, and missing data methodology/multiple imputation.

  • R
  • R Shiny
  • R Markdown
  • SAS
  • STATA
  • Tableau
  • HTML
  • CSS
  • SQL

Mission

Future Goals

Apart from my desire to continue working in the biotech field as either a biostatistician, data scientist, interactive web application developer (or a combination of all 3), I hope to improve upon my web development & UI design skills even further. Although I just started working with HTML & CSS, I have picked up on these skills rather quickly and I certainly enjoy designing webpages and functional user interfaces. Leaning javascript in the near future is also a goal of mine, to make my web applications even better and implement improved graphics capabilities. Overall, it is extremely important to me that I continue to leverage my current skills, in addition to developing new ones, in order to improve health outcomes on a global scale.

Some of my favorite quotes...

  • Give me six hours to chop down a tree and I will spend the first four sharpening the axe.

    Abraham Lincoln

  • It is paradoxical, yet true, to say, that the more we know, the more ignorant we become in the absolute sense, for it is only through enlightenment that we become conscious of our limitations. Precisely one of the most gratifying results of intellectual evolution is the continuous opening up of new and greater prospects.

    Nikola Tesla

  • The fight is won or lost far away from witnesses - behind the lines, in the gym, and out there on the road, long before I dance under those lights.

    Muhammad Ali