Knowledge & Skills
Bayesian Statistics:
MCMC Inference, Autoregressive Models, ARMA models, Dynamic Linear Models, Kalman Filters, EM, Hierarchical Models and Latent Variables, Decision Theory, Hypothesis Testing, Statistical Signal Processing, Model Checking, Missing Data Modeling, Bayesian Regression Models.
Stochastic Processes:
Markov Chains, Gaussian Processes, Poisson Processes, Continuous-Time Markov Chains, Random Processes and Linear Systems, Dynamic Programming, Information Theory, Constrained Optimization. Topic Modeling in Text Mining: Latent Semantics Indexing, Probabilistic Latent Semantics, Latent Dirichlet Allocation, Correlated Topics, DCM LDA.
Recommender Systems:
Collaborative Filtering, Bayesian Recommender Systems, Regression Based Latent Factors, Social based recommendations, Community Discovery, Link Prediction.
Computational Advertising:
Sponsored Search, Mining Query logs, Query Intent Detection, Click-through Rates, Contextual Advertising.
Machine Learning:
Classification and Prediction, Linear and Logistic Regression, Decision Trees, Naıve Bayes, Linear Discriminant Analysis, Support Vector Machines, Boosting, Clustering and Co-clustering using Information Theory.
Computer Vision and Image Analysis:
Gabor Filters, Image Registration, Rigid Transformations, Active Shape Models, Binary Images, Filtering, Color Representation, Noise Estimation and Removal from a Single Image. Domain in the analysis of Cardiac Motion from Tagged Magnetic Resonance Images, Intravascular Ultrasound (IVUS) Image Acquisition and Reconstruction from RF signals.
Skills
R, Matlab and different toolboxes, Perl, ANSI C, C++, XLMiner, Weka, Lucene, Lemur, OpenCV, PHP, SQL, HTML, XML