Personal Information
Organização/Local de trabalho
Greater Boston Area United States
Cargo
A code crafter, biological analyzer and statistical thinker who loves building great teams.
Setor
Education
Sobre
I am a 5th year PhD candidate in the department of Biological Engineering at MIT. Over the past two years since passing my candidacy exam, I have accumulated a wealth of experience using Python to perform biological data analysis on a wide variety of data types, including immunofluorescent images, flow cytometry, and sequence data.
My thesis dissertation is on the analysis of influenza evolution at the genomic and atomic scales. I have deployed network models to show how reassortment may prime the influenza virus to jump across host species barriers (manuscript submitted). Continuing forward, I am building predictive models of influenza evolution.
I believe in using open data, open sci...
Marcadores
influenza
biology
convolutional neural networks
data science
neural networks
big data
data
genomic surveillance
deep learning
biotech
biotechnology
social network
biological engineering
research
Ver mais
Apresentações
(5)Documentos
(3)Gostaram
(5)Notes from Coursera Deep Learning courses by Andrew Ng
Tess Ferrandez
•
Há 6 anos
Elegant Solutions For Everyday Python Problems - PyCon Canada 2017
Nina Zakharenko
•
Há 6 anos
Mining Georeferenced Data
Bruno Gonçalves
•
Há 8 anos
Mining Geo-referenced Data: Location-based Services and the Sharing Economy
tnoulas
•
Há 8 anos
Python as the Zen of Data Science
Travis Oliphant
•
Há 8 anos
Personal Information
Organização/Local de trabalho
Greater Boston Area United States
Cargo
A code crafter, biological analyzer and statistical thinker who loves building great teams.
Setor
Education
Sobre
I am a 5th year PhD candidate in the department of Biological Engineering at MIT. Over the past two years since passing my candidacy exam, I have accumulated a wealth of experience using Python to perform biological data analysis on a wide variety of data types, including immunofluorescent images, flow cytometry, and sequence data.
My thesis dissertation is on the analysis of influenza evolution at the genomic and atomic scales. I have deployed network models to show how reassortment may prime the influenza virus to jump across host species barriers (manuscript submitted). Continuing forward, I am building predictive models of influenza evolution.
I believe in using open data, open sci...
Marcadores
influenza
biology
convolutional neural networks
data science
neural networks
big data
data
genomic surveillance
deep learning
biotech
biotechnology
social network
biological engineering
research
Ver mais