Danielle Pinto (Peterson) Email & Phone Number

Boston, MA, US

Boston, Massachusetts, United States

Boston, Massachusetts, United States

Building algorithms for pathogen identification and antibiotic resistance prediction from whole genome sequencing data (Illumina and Oxford Nanopore).

Boston, Massachusetts, United States

-Analyzing quantitative and qualitative data for pharmaceutical clients in different areas of expertise: burden-of-illness research, comparative effectiveness research, patient-reported outcomes, and rare disease/orphan drug research-Led Python training for analysts, active member of healthcare analyst recruiting committee, member of healthcare.

Wellesley, MA

-Published: Comparative analysis of 16S rRNA gene and metagenome sequencing in pediatric gut microbiomes-Senior thesis: Comparing early childhood gut microbiomes obtained from 16S rRNA gene and metagenome sequencing -Teaching assistant for BISC 195: Essential Skills for Computational Biology

-Teaching Assistant for QAI Summer Program, aiding in curriculum development, running labs and grading-Taught R programming, data management, and statistical concepts

Boston, Massachusetts, United States

-Working with students in the Masters of Genetic Counseling program; aiding study design and data analysis (R and Excel) for capstone research projects-Assisting in the teaching of HE-802 Advanced Quantitative Methods & Measurement

Cambridge, Massachusetts, United States

-Applying unsupervised deep learning neural networks to analyze single-cell RNA-sequencing data

Cambridge, MA

-Intern in the Microscopy and Biophotonics Group/Analytical Sciences and Imaging-Applied neural networks and deep learning for video image analysis-Used data science to enhance understanding of psychiatric drugs on animal behavior

-Worked in the Huttenhower lab and applied their Biobakery toolkit to the ECHO cohort.-Analyzed microbial metagenomes, patient metadata, and cognitive data -Developed skills in git version control, using remote servers, and working with big data.

-Intern in the Alm Lab, which uses computational and experimental techniques to engineer the gut microbiome. -Created a transposon mutant library for Akkermansia muciniphila, an understudied, but highly-abundant member of the human gut microbiome. -Successfully designed, engineered, and transformed a plasmid into Akkermansia muciniphila.

-Intern in the Blaser Lab group, studying bacteria in the human microbiome. -Summer I: investigated the effects of antibiotics on estrogen circulation in the mouse microbiome. Quantified production of the β-glucuronidase enzyme with ELISA protein assays. -Summer II: Performed tissue-culture assays to explore how the microbially-produced short chain fatty.