Personal Information
Entreprise/Lieu de travail
Greater Boston Area United States
Profession
A code crafter, biological analyzer and statistical thinker who loves building great teams.
Secteur d’activité
Education
Site Web
www.ericmajinglong.com/
À propos
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...
Mots-clés
influenza
biology
convolutional neural networks
data science
neural networks
big data
data
genomic surveillance
deep learning
biotech
biotechnology
social network
biological engineering
research
Tout plus
Présentations
(5)Documents
(3)J’aime
(5)Notes from Coursera Deep Learning courses by Andrew Ng
Tess Ferrandez
•
il y a 6 ans
Elegant Solutions For Everyday Python Problems - PyCon Canada 2017
Nina Zakharenko
•
il y a 6 ans
Mining Georeferenced Data
Bruno Gonçalves
•
il y a 8 ans
Mining Geo-referenced Data: Location-based Services and the Sharing Economy
tnoulas
•
il y a 8 ans
Python as the Zen of Data Science
Travis Oliphant
•
il y a 8 ans
Personal Information
Entreprise/Lieu de travail
Greater Boston Area United States
Profession
A code crafter, biological analyzer and statistical thinker who loves building great teams.
Secteur d’activité
Education
Site Web
www.ericmajinglong.com/
À propos
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...
Mots-clés
influenza
biology
convolutional neural networks
data science
neural networks
big data
data
genomic surveillance
deep learning
biotech
biotechnology
social network
biological engineering
research
Tout plus