PhD Candidate, Purdue University, Department of Statistics

Research Technician, Northeastern University, College of Science

Northeastern Office: WVH 310G (where I'm currently located)

Purdue Office: MATH 509

aharry at purdue dot edu

Current Research and Activities

My research interests involve developing statistical methods for mass spectrometry imaging. In particular, I am attempting to improve the identification of differentially abundant ions across sample conditions using models that take into account the complex error structures often found in this type of data. I am also interested in the computational issues that arise from implementation of such methods on large datasets. Thus, my research touches many areas--from bioinformatics to spatial statistics. I am advised by Prof. Olga Vitek. I am currently working on my dissertation research as a Research Technician in the College of Science at Northeastern University in Boston, MA.

Here is my CV.

I am passionate about helping to increase access, success, and visibility of underrepresented minorities in STEM, particularly in the mathematical sciences. I am also an advisor for Statistics in the Community (StatCom) at Purdue, a student-run organization that provides free statistical consulting to local non-profits, schools, and governmental agencies.


PhD in Statistics, Purdue University (In Progress)
MS in Applied Statistics, Purdue University (2012)
BS in Mathematics, Xavier University of Louisiana (2010)


Bemis, Kylie; Harry, April; Eberlin, Livia; Ferreira, Christina; van de Ven, Stephanie; Mallick, Parag; Stolowitz, Mark; Vitek, Olga. May 2016. “Probabilistic segmentation of mass spectrometry images helps select important ions and characterize confidence in the resulting segments.” Molecular & Cellular Proteomics. 15(5):1761-72.

Bemis, Kylie; Harry, April; Eberlin, Livia; Ferreira, Christina; van de Ven, Stephanie; Mallick, Parag; Stolowitz , Mark; Vitek, Olga. (2015). Cardinal: An R Package for Statistical Analysis of Mass Spectrometry-Based Imaging Experiments. Bioinformatics (Oxford, England). 31 (14): 2418-2420.

Harry April, Troisi Jeremy. (Aug 2014) STATtr@k: Service Oriented Statistics. AMSTATNEWS: p 19.

Kaufman, J; Lessler, J; Harry, A; Edlund, S; Hu, K; et al. (2014) A Likelihood-Based Approach to Identifying Contaminated Food Products Using Sales Data: Performance and Challenges. PLoS Comput Biol 10(7): e1003692.

Harry April J, Kent Candace M, Kocic Vlajko L. (2012) Global behavior of solutions of a periodically forced Sigmoid Beverton-Holt model. J Biol Dyn 6(2): pp. 212-234.

Updated 11 May 2016