Personal Information
Entreprise/Lieu de travail
Greater Los Angeles Area United States
Profession
Postdoctoral Research Associate at USC- Information Sciences Institute
Secteur d’activité
Technology / Software / Internet
Site Web
http://www.cs.vt.edu/~tozammel
À propos
My research interests primarily focus on developing data mining techniques and applying machine learning to solve problems stemming from bioinformatics, networked systems and computational social science. I have developed methods to infer co-evolving structures in biological and social systems, forecast societal population-level events (like flu outbreak), and model behavior, such as prejudice and ideological leanings, in social systems. My research combines theoretical analysis of models, development of efficient algorithms and application on data originated from diverse sources, including protein sequences and structures, yeast cell cycle, Twitter, epidemiology, and supreme court opinions.
- Présentations
- Documents
- Infographies
What Would Steve Do? 10 Lessons from the World's Most Captivating Presenters
HubSpot
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il y a 11 ans
26 Time Management Hacks I Wish I'd Known at 20
Étienne Garbugli
•
il y a 11 ans
20 Inspiring Quotes From William Zinsser's "On Writing Well"
Glenn Leibowitz
•
il y a 9 ans
NoSQL Databases: Why, what and when
Lorenzo Alberton
•
il y a 13 ans
Prepare your Ph.D. Defense Presentation
Christian Glahn
•
il y a 13 ans
Booz Allen Field Guide to Data Science
Booz Allen Hamilton
•
il y a 8 ans
Timeless Marketing Wisdom From David Ogilvy
HubSpot
•
il y a 10 ans
A Statistician's View on Big Data and Data Science (Version 1)
Prof. Dr. Diego Kuonen
•
il y a 10 ans
Text Classification in Python – using Pandas, scikit-learn, IPython Notebook and matplotlib
Jimmy Lai
•
il y a 11 ans
Analytics and Data Mining Industry Overview
Gregory Piatetsky-Shapiro
•
il y a 12 ans
How Introverts Can Survive in This Extroverted World
Jonathon Colman
•
il y a 11 ans
Bioinformatics Meets Information Retrieval: State of the Art and a Case Study
Eloisa Vargiu
•
il y a 11 ans
Advances in automatic time series forecasting
Rob Hyndman
•
il y a 11 ans
Deep Learning using Keras
Aly Abdelkareem
•
il y a 6 ans
Automatic algorithms for time series forecasting
Rob Hyndman
•
il y a 8 ans
Day 2 android internals a quick overview
Ahsanul Karim
•
il y a 11 ans
Analyze This! Best Practices For Big And Fast Data
EMC
•
il y a 11 ans
Entrepreneurship
Sabuj Kundu
•
il y a 11 ans
DataSift Historics in 5 Steps
Nick Halstead
•
il y a 11 ans
Life and Work of Judea Perl | Turing100@Persistent
Persistent Systems Ltd.
•
il y a 11 ans