Hi, I'm Seth Neel - Research Scientist at Google
I'm driven by bridging academia and entrepreneurship, applying machine learning to solve complex challenges in data privacy and energy analytics. I thrive when rapidly mastering new technical domains and translating cutting-edge research into impactful solutions.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Summer Analyst at Goldman Sachs, gaining early exposure to financial markets and quantitative analysis.
Assistant Professor at Harvard University and co-founder of Welligence Energy Analytics, applying machine learning to real-world problems.
Can provide expert insights on machine learning privacy and bias mitigation, and guidance on building data science ventures.
🚀 Career trajectory
Foundational Analytics
Gained early exposure to financial markets and quantitative analysis through a Summer Analyst role at Goldman Sachs.
✦ Finance
✦ Quantitative Analysis
Doctoral Research
Deepened expertise in statistics and data science, culminating in a PhD from the University of Pennsylvania.
✦ Statistics
✦ Machine Learning
✦ PhD
Academic & Entrepreneurial Growth
Currently applying research as an Assistant Professor at Harvard and co-founding a tech venture in energy analytics.
✦ Academia
✦ Entrepreneurship
✦ Data Privacy
Future AI Innovation
Transitioning to a Research Scientist role at Google to focus on advancing foundational AI research.
✦ AI Research
💪🏻 Superpowers
Pioneering Privacy-Preserving ML
Innovating at the intersection of machine learning and data privacy.
✦ Developing novel algorithms to protect sensitive data.
✦ Addressing bias in AI systems for equitable outcomes.
✦ Applying research to commercial applications in energy analytics.
Entrepreneurial Technologist
Translating cutting-edge research into impactful ventures.
✦ Co-founded Welligence Energy Analytics, driving technical strategy.
✦ Provided technical leadership as CTO and Chief Data Scientist.
✦ Secured and advised clients on data-driven solutions.
Academic Research Leader
Mentoring and advancing knowledge in computer science and statistics.
✦ Assistant Professor at Harvard University (HBS & Computer Science).
✦ Guiding research on machine learning applications and theory.
✦ Publishing and presenting findings to academic communities.
I'm excited about
✦ Exploring novel collaborations in applied AI and data privacy.
✦ Connecting with leaders in AI ethics and responsible technology.
✦ Discovering emerging trends and research directions in machine learning.
I can help with
✦ Provide expert insights on machine learning privacy and bias mitigation.
✦ Offer guidance on building and scaling data science ventures.
✦ Share perspectives on bridging academic research with industry needs.
I would love your help on
✦ Identifying potential co-founders or collaborators for future AI ventures.
✦ Connecting with researchers pushing the boundaries of differential privacy.
✦ Finding opportunities to apply AI for social good or environmental impact.