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Antonio Molins

Director of Product Innovation

Data @ Clarity AI

Greater New York City Area

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Antonio Molins's Email Addresses & Phone Numbers

Antonio Molins's Work Experience


Director of Product Innovation

September 2017 to November 2018

Los Gatos


Search & Discovery

January 2017 to September 2017

San Francisco


Research Manager - Discovery Algorithms Science

January 2014 to February 2015

Los Gatos, CA

Antonio Molins's Education

Massachusetts Institute of Technology

MS, Electrical Engineering and Computer Science

2005 to 2007

Massachusetts Institute of Technology

Doctor of Philosophy - PhD, Health Sciences & Technology, Electrical and Medical Engineering

2005 to 2010

Harvard Medical School

Doctor of Philosophy - PhD, Electrical and Medical Engineering

2005 to 2010

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About Antonio Molins's Current Company


Frequently Asked Questions about Antonio Molins

What company does Antonio Molins work for?

Antonio Molins works for Netflix

What is Antonio Molins's role at Netflix?

Antonio Molins is Director of Product Innovation

What is Antonio Molins's personal email address?

Antonio Molins's personal email address is an****[email protected]

What is Antonio Molins's business email address?

Antonio Molins's business email address is a****[email protected]

What is Antonio Molins's Phone Number?

Antonio Molins's phone (212) ***-*374

What industry does Antonio Molins work in?

Antonio Molins works in the Financial Services industry.

Who are Antonio Molins's colleagues?

Antonio Molins's colleagues are Dora Osinde, Daniel Domermark, Felipe Barbosa, Leona D., Maxine Cheung, Jen-Ya Ku, Ben Morris, Martin Chalupa, Tim Heckman, and Anany Yamanaka

About Antonio Molins

📖 Summary

Director of Product Innovation @ Netflix From September 2017 to November 2018 (1 year 3 months) Los GatosSearch & Discovery @ Airbnb From January 2017 to September 2017 (9 months) San FranciscoResearch Manager - Discovery Algorithms Science @ Netflix Managing a talented research team imagining the next version of our world-class recommender algorithms. These algorithms drive most of the Netflix experience, including personalization of the home page, search recommendations, Top picks row, Because you watched row, and game-based recommendations. From January 2014 to February 2015 (1 year 2 months) Los Gatos, CASenior Data Science Advisor @ Clarity AI From September 2016 to November 2018 (2 years 3 months) Manager - Marketing Algorithms & Analytics @ Netflix Data-driven muti-touch attribution modelingBottoms-up lifetime value (LTV) modelingContent-based, LTV-aware modeling of FB audiences From September 2013 to January 2014 (5 months) Los Gatos, CASenior Data Scientist - Algorithms & Analytics @ Netflix Recommendation algorithms and predictive analytics.--Social cold-start of recommendation algorithms: Developed, tested, and implemented a ranker that predicts which friends of Facebook-connected new subscribers will be closer on movie taste similarity. The model uses gradient boosted decision trees on a variety of social- and content-based features.--Adaptive row selection: Developed, tested, and prototyped a scoring metric for a "recommender of recommendation algorithms" based on past performance. The model uses logistic regression with elastic net penalty, and k-means clustering on a variety of user-, content-, and algorithm-based features.--Markov-chain based movie similarity: Explored, derived, and prototyped different data-driven metrics of movie similarity based on users' play data to improve movie recommendations. Explored the breakdown of user population by usage patterns using Expectation-Maximization.--Short-term attrition modeling: Developed a parsimonious Bayesian model for next-day attrition based on historical play rates. From September 2011 to September 2013 (2 years 1 month) Los Gatos, CAAssociate in Market risk modeling and analysis @ Goldman Sachs Price verification for derivative instruments--Implemented calibration routines for stochastic pricing models of commodity derivatives, allowing for automated price verification. Developed tools to analyze the impact of resulting price differences across the firm’s portfolio. From October 2010 to September 2011 (1 year) New York City, NYResearch Assistant @ Neuroscience Statistics Research Lab, Massachusetts Institute of Technology State-space modeling of combined EEG+MEG time series (PhD Thesis):Designed efficient algorithm for time series modeling and estimation. Hybrid distributed/shared memory implementation for large data sets in a Linux clus- ter using C++, MPI, ScaLAPACK, and OpenMP. From 2007 to October 2010 (3 years) Cambridge, MAResearch assistant @ Neuroscience Statistics Research Lab, Massachusetts Institute of Technology Integration of EEG and MEG data in minimum 2-norm estimation:Characterized spatial resolution and localization accuracy of inverse operator using a large clinical dataset. Designed relevant summary metrics. Results were published in peer-reviewed, high impact-factor international journal. From 2006 to 2007 (1 year) Cambridge, MAResearch Assistant @ Retinal Implant group @ RLE, Massachusetts Institute of Technology Data analysis of high-speed two-photon imaging:Developed a new interactive analysis tool to monitor temporal profiles of cell activity in real-time, extracted from large data sets, using Matlab and C++.--Statistical modeling of neural activity: Designed new way of characterizing and displaying single neuron spiking activity using discrete stochastic processes theory. From 2005 to 2006 (1 year) Cambridge, MAResearch Assistant @ Biooptics and Molecular Imaging Lab, Massachusetts General Hospital Optical tomography reconstruction:Redesigned the existing recursive reconstruction algorithm, increasing its convergence rate and reducing computational requirements.--Fluorescence Molecular Tomography-Ultrasound prototype: Designed and built new hybrid prototype, programming both the acquisition and the reconstruction algorithms. From 2004 to 2005 (1 year) Boston, MAResearch Assistant @ Unidad de Medicina y Cirugía Experimental, Gregorio Marañón Hospital CT project (MS thesis):Designed, built and tested a CT system for small animals. Implemented different cone-beam reconstruction algorithms on a shared-memory system using C++ and OpenMP. --PET project:Implemented real-time data-collection and control routines for a small animal PET system using microcontrollers, custom electronics and two coordinated Unix machines. From 2002 to 2004 (2 years) Madrid, SpainChief Data Scientist @ Clarity AI At Clarity ( we are solving the problem of inefficient and unequal allocation of capital by developing a universal framework and an automated tool that can be readily applied to rate companies, projects, governments and NGOs. Greater New York City AreaVP of Data Science @ Miroculus Miroculus is a life science company that has developed an accurate, easy to use, non-invasive and affordable microRNA detection platform that can radically improve the ability of life science research and healthcare providers to diagnose, treat, and monitor diseases at a molecular level through the examination of microRNAs. From April 2015 to January 2017 (1 year 10 months) San Francisco Bay Area

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Antonio Molins's Personality Type

Extraversion (E), Sensing (S), Feeling (F), Judging (J)

Average Tenure

1 year(s), 5 month(s)

Antonio Molins's Willingness to Change Jobs



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