Director of Data Science at iRobot. Mathematician from MIT.

Greater Boston Area, MA – Jan 2017-present

Head of Data Science and Engineering Competency; Jan 2019-present

Head of Machine Learning Competency; Jul 2019-present

I lead all data scientific initiatives across iRobot's matrixed organization, in addition to leading ~30 professionals as the Head of our Data Science, Data Engineering, and Machine Learning R&D Competencies. Our teams work at the intersections of Cloud Operations, Data Platform, Software Development, Digital Product, and IoT. We help develop algorithms (reinforcement learning, computer vision, object recognition) that run on-board our robotic fleet and in our consumer-facing app. Our objectives are varied but ultimately focus on improving our customers' experience—always in a privacy-conscious and respectful way. We log, explore, analyze, visualize, model, deploy, and monitor terabytes of data in order to build and implement decision-science models running on the edge and in the cloud.

• How iRobot used data science, cloud, and DevOps to design its next-gen smart home robots
• iRobot Ready to Unlock the Next Generation of Smart Homes Using the AWS Cloud

I came to iRobot with a vision—to build a world-class data science team from the ground up. Ultimately, our objective was two-fold: first we had to generate immediate analytical ROI on high value and high visibility projects to demonstrate the results of the substantial initial investment, but importantly we also needed to place audacious bets and enable the company to deliver on the promise of a truly smart home. While the function started with just me, we now have a robust and remarkable team that brings together many of the best data-capable minds and hands in the business.

iRobot designs and builds robots that provide people with smarter ways to clean and accomplish more in their daily lives. iRobot's portfolio of solutions features proprietary technologies for the connected home and advanced concepts in navigation, mobility, manipulation and artificial intelligence. The company was founded in 1990 by MIT roboticists with the vision of making practical robots a reality; since then it has sold more than 15 million robots worldwide.

Greater Boston Area, MA – Jan 2016-present

Research shows that Measurement-Based Care improves outcomes, but is critically underused. By partnering with organizations to achieve successful implementation, Mirah makes MBC into a sustainable practice. Mirah helps behavioral health organization incorporate data into therapy and level-of-care decisions, with outcomes visible to clinicians and leadership. Clear, easily accessible data analytics help identify and proliferate best practices.

Greater Boston Area, MA – 2010-Present

HomeAgain PetRescuers are part of a nationwide network of over 1 million volunteers who help reunite missing pets with their families. This network is alerted every time a lost cat or dog goes missing in a location, and provides training and resources to aid in the rescue.

Greater Boston Area, MA – Spring 2003

For two afternoons every week I provided assistance in French, Portuguese, and Spanish to families and friends of patients in the waiting area. Many non-native English-speaking patients do not have a support network nearby, and I tried to help them feel a little more comfortable in the hospital.

Founded in 1811, the 820-bed world-renowned medical center offers sophisticated diagnostic and therapeutic care in virtually every specialty and subspecialty of medicine and surgery. Each year the MGH admits approximately 35,000 inpatients and handles more than 1 million visits.

Rio de Janeiro, Brazil – Spring & Summer 2002

During this summer research internship, funded by the 2002 MIT Provost research grant, I performed a comparative study of the local presidential election media coverage, highlighting the disparity between the alleged objectivity and impartiality of newspapers, and their behavior as political agents during election campaigns.

The School of Electoral Studies, Political Communication, and Public Opinion, a department of the Institute for Social and Political Studies (IESP) of the State University of Rio de Janeiro (UERJ), has acquired a significant database of journalistic coverage in Brazil.

Cambridge, MA – Fall 2001

Under direct supervision of Mechanical Engineering Professor Seth Lloyd, I explored quantum information theory, computation, and communications in order to make progress toward a transfer control protocol for quantum data.

One of the earliest programs of its kind in the United States, MIT’s UROP allows students to participate in research as the junior colleagues of Institute faculty. The Research Lab of Electronics Quantum Information Group conducts investigations in two major areas: The first is in quantum information, with research in the design of quantum computer and quantum communication systems, as well as work in quantum algorithms, theory of quantum information, and quantum control theory. The second is in complex systems, including problems of complexity in engineering and in measures of complexity.

Poços de Caldas, Brazil – Summer 2001

I was an intern here, so I assume that mostly I just slowed other people down while I learned a ton! This unit has about one thousand employees and four integrated production areas: mining, refining, smelting, and aluminum powder. Here, Alcoa produces calcined alumina and hydrated alumina, metal in liquid form, billets, ingots, and powdered aluminum. This is also where the company centralizes the services of the administrative and financial areas for Brazil operations.

São Paulo, Brazil – Summer 2000

Itaú is the largest Latin American bank and one of the largest banks on the planet, with approximately 96,000 employees and operations in 20 countries; the bank provides services to individuals and companies of all sizes, from major transnational groups to local micro-entrepreneurs. I was an intern here too, so I know that mostly I just slowed other people down while I learned a ton!

19th Annual MITX Awards, May 2015.

EnerNOC's energy intelligence software collects and analyzes millions of data points about how enterprises buy energy, how much they're using, and when they're using it, and marries that information with grid and market signals, such as real-time prices, weather, and overall system peak. As a result, enterprises get actionable insights into how they can save money and use energy more productively, and utilities and grid operators get firm, reliable demand-side resources.

2015 Analytics Conference. April 2015.

Syngenta partnered with KROMITE to jointly reevaluate crop research & development program operations, which resulted in improved crop output, reduced time-to-market, significant cost optimization, and increased portfolio value. Together, they developed new analytical tools that dramatically improved project lead training, decision-making and planning, and analytical thinking in the organization; and initiated a multi-year effort to customize and launch similar tools across all major crop areas.