The expertise your team needs to meet new tech challenges. We offer guidance, resources, and tools for data and engineering team-building & management, product strategy & planning, project scoping & execution. We also connect teams with temporary leadership from our expansive network.

Co-teaching "AI Ethics for Leaders" undergraduate seminar with David Evan Harris.

2023 - Action Cycles Lead2021, 2022 - Cohort Leader2020 - Course Participant

Led and managed cross-functional teams of 3-70 people through 6 years of organizational change° Head of Insight’s geographic expansion team (2014-20): researched, developed, and launched a data science education program for scientists and engineers in New York City, Boston, Seattle, Los Angeles, and Toronto, Canada, working with internal and external stakeholders. These new locations fueled Insight’s growth from 60 Fellows/year to 1000 Fellows/year.° Defined the Sales and Customer Success strategy and team structure (2018-20), hiring and managing 15 people, building deep partnerships with > 700 hiring companies.° PeopleOps Exec team lead (2014-20): led company-wide planning for team strategy, goals/OKRs, performance reviews, new manager onboarding/training. Responsible for all COVID-related office closures and team communication in 2020. Ensured Diversity, Equity + Inclusion were considered at all points of our team’s work. Engagement survey results showed 91% of the team agreed “I can be myself at work,” 100% said “My manager wants to see me succeed.”° Designed and executed 10 bi-annual “Team Weeks” to communicate the vision of Insight, share and define our goals, and bring our team together in cities like New York, San Francisco, Chicago, and Estes Park, Colorado.

Acting COO for three months while our COO was on parental leave, leading the Fellows Program across Insight. I worked with a team of ~70 people across Product, Data, Engineering, Sales, Marketing, Finance, and Operations in six cities.Restructured the team, budgets, and goals into new business units.

As Director of Growth, I launched the first Insight Health Data Science session in Boston in 2015, and grew the network of mentor companies that we work with in Silicon Valley, NYC, Boston, and across the US. I mentored Insight Fellows and the Insight Team directly working with data to meet user needs. ° Interviewed, selected, and mentored 100s of PhD data scientists who joined top data teams. ° Trained them on best practices for tools + techniques as well as solving user problems: prioritizing the best, ethical, equitable user experience over the fanciest algorithms. ° Primarily worked with Python, R, SQL, machine learning, and distributed computing tools. Every Fellow from the inaugural sessions of the Health Data program found a role as a data scientist, joining teams at the Broad Institute, Dana-Farber Cancer Institute, AthenaHealth, Biogen, Foundation Medicine, Seven Bridges, Humana, Constant Therapy, Immuneering, and more.

When I joined Insight, the Insight Data Science Fellowship had been running in Silicon Valley since 2012. During 2014, we expanded to run our first Data Science session in New York City. I led this first session, from which Fellows joined leading data science teams at companies including NewsCorp, Macy's, Palantir, Akamai, Memorial Sloan Kettering Cancer Center, KPMG, MTV, NBC, ZocDoc, Capital One and startups including SailThru, Tapad, and Greenhouse. We also launched the Insight Data Engineering program in Silicon Valley in 2014, to enable software engineers to transition onto teams working with the most cutting-edge data technologies.

As a staff scientist, I worked with the LBNL group to analyze physics data taken by the ATLAS detector at the Large Hadron Collider at CERN. We also built and tested detectors for future research. Papers I worked on were published in the top journals in our field. In addition to my research:- As a member of the Particle Data Group, I oversaw sections of the Review of Particle Physics, a 1500-page book published every year containing the latest information relevant to experts in our field. One section I oversaw, “Particle detectors at accelerators,” was used by many students as a textbook, downloaded over 50,000 times per year. I coordinated the work of over 20 volunteer expert authors.- Headed the LBNL ATLAS Analysis Support Center (ASC) during 2013, organizing a two-day event in June 2013 for new graduate students. It was the first “ATLAS Boot Camp,” attended by 15 students, 4 postdocs and 4 staff/faculty from Berkeley, UCSC, SLAC, Irvine, U Washington, Arizona, Chicago, Iowa State, and Hong Kong. Students had hands-on training in software and heard lectures on detector and analysis topics. - Chaired of the committee to bring speakers to visit the lab to give seminars each week, 2012-13. Hosted 48 speakers, communicating with five different search committees from campus and the lab.- Served on the 2012 Chamberlain Fellow hiring committee, recruiting the best physics postdocs to LBNL.

When the Large Hadron Collider (LHC) was turned on for the first time in 2008, the data taken were really, truly Big Data. The machine is 20 miles in circumference, 100 meters underground. The ATLAS detector is very finely instrumented, but bigger than a house. Proton beams crossed 40 million times a second, collecting > 3 PB of data per year. There were 3000 authors on each scientific paper, 12 pages of authors and institutes. The questions were big, as well: what is the universe made of? How does it work?I worked as an experimental physicist with the ATLAS Collaboration on data analysis and operation of the one of the key subsystems, the Liquid Argon Calorimeter. - Lead a group of over 80 researchers from 30 institutes performing the first ATLAS searches for di-electron and di-muon resonances (Z' particles). Our work was published in PLB (2011).- Lead the ATLAS Exotics subgroup studying very high energy electrons used in searches for W’ and Z’ bosons. In addition to the Z’, a paper documenting the search for the W’ with 2010 data was published in PLB (2011).- Lead-authored a paper summarizing the Liquid Argon (LAr) calorimeter electronics performance, published by JINST (2010).- Co-lead the ATLAS LAr calorimeter Detector Operations team (2008-2009). Defined control room procedures, trained and organizing shifters, and ensured that the LAr systems were ready for the first LHC data.- Coordinated of a team of engineers and technicians responsible for the removal, repair, testing and re-installation of Front End Boards for the LAr Calorimeter (2007-2008).- Spoke about research at Harvard, Caltech, University of Chicago, University of Washington, Penn, NYU, and more, often along with a talk to undergraduates on how to get involved with research.- Guided tours for the public on CERN Open Day, gave talks to high school students in Rochester, NY, and middle school students in Queens, NY about LHC science and careers in research.