Seyed Danial Mohseni Taheri, Ph.D.

Seyed Danial Mohseni Taheri, Ph.D.

San Francisco Bay Area
908 followers 500+ connections

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About

I am a senior applied scientist at Walmart Labs, working on natural language processing…

Activity

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Experience

  • NVIDIA Graphic

    NVIDIA

    Santa Clara, California, United States

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    San Francisco Bay Area

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    Chicago

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    Greater Chicago Area

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Education

Volunteer Experience

Publications

  • Interpretable User Models via Decision-rule Gaussian Processes

    NeurIPS 2019 (Advances in Approximate Bayesian Inference symposium)

    See publication

  • Meeting Corporate Renewable Power Targets

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    Several companies have committed to procuring a percentage of future power demand from renewable sources. Unlike conventional sources of power, procurement through renewable generators expose companies to fuel, operational, and price risks. Accounting for these risks, we provide insights on designing the procurement portfolios based on long and short-term power procurement options and develop a novel and near-optimal heuristic for computing multi-stage procurement portfolios on realistic…

    Several companies have committed to procuring a percentage of future power demand from renewable sources. Unlike conventional sources of power, procurement through renewable generators expose companies to fuel, operational, and price risks. Accounting for these risks, we provide insights on designing the procurement portfolios based on long and short-term power procurement options and develop a novel and near-optimal heuristic for computing multi-stage procurement portfolios on realistic instances.

    See publication

Courses

  • Advance predictive modeling (Topics in Neural networks and reinforcement learning)

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  • Combinatorial optimization

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  • Data-driven decisions under uncertainty

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  • Dynamic programming

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  • Econometrics

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  • Linear programming

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  • Machine learning and computer algorithms

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  • Machine learning with Python

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  • Probability theory

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  • Real option theory, options and derivatives

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  • Reinforcement learning

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  • Stochastic Calculus

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  • Stochastic processes

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Projects

  • Large scale dynamic programming optimization

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    Python implementation of Dual re-optimization heuristic (developed in Meeting Corporate Renewable Power Targets) in an investment problem using Gurobi.

  • Meta-learning Gaussian process

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    Python implementation ML-GP of the toy example in "Meta Reinforcement Learning with
    Latent Variable Gaussian Processes", UAI 2018

  • Parameter estimation of price processes

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    Calibrating parameters of a mean-reverting model with seasonality and jump on real power price data in MATLAB

  • Prediction of stock price

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    Implementing a Deep Neural Network in MATLAB to predict the stock price

  • Text analysis for validating the credibility of GitHub repositories

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    I am mentoring a predictive model using natural language processing to forecast the credibility of repositories in Github for Cloudbakers (Software company in Chicago).

  • User modeling inference

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    Python implementation of two expectation-maximization (EM) based Bayesian inference model on predicting the behavior of users interacting with a service system using real-data.

  • Visualization and data collection

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    I was mentoring a group of MSc students in the process of data collection and visualization for a start-up (Varuna)

Honors & Awards

  • IDS Ph.D. Fellowship

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  • Dean’s Honors List with Distinction

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Languages

  • English

    Full professional proficiency

  • Persian

    Native or bilingual proficiency

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