Brian Rowe Email & Phone Number

Manhattan, Ny, Us

I teach a graduate capstone in the Data and AI master's program. Students work on research related to the Climate Adaptation Data Platform to apply weather and climate data to solve problems in food security and public health.

Zato Novo is a hybrid data science research and consulting firm founded by Brian Lee Yung Rowe in 2013. Zato Novo’s mission is to leverage AI, data science, and other quantitative methods to solve important social issues such as + how to align company and employee interests to create a healthy and sustainable work environment, + how to remove bias and inefficiency from the hiring process, + how to remove toxicity from social media using reinforcement learning,+ how to make AI accessible to small businesses to help them compete with large companies, and currently+ how to help vulnerable populations adapt to climate change.Our work has appeared in TIME, The Guardian, Atlantic Cities and more. Our clients include multibillion dollar hedge funds, unicorn startups, and Fortune 500 companies.Leveraging decades of expertise in time series forecasting and AI, Zato Novo created the Climate Adaptation Data Platform (CADP), a multi-hazard early warning system (MHEWS), to help vulnerable populations adapt to climate change. The CADP goes beyond weather forecasting and includes models such as evapotranspiration and mosquito abundance to power additional climate risk models as well as decision control applications. In addition to addressing heat risk in India with IRADe, Zato Novo has partnered with organizations in Kenya and Tanzania to address water scarcity (minimizing the water used for irrigation) and reduce the impact of malaria outbreaks.

Mandaluyong, Ncr, Ph

CEO of FundKo, a P2P lending platform in the Philippines, for three years. I took over this struggling lender with the intention of streamlining the lending process with chatbot-based automation and data-driven credit decisions. Plan was to offer an interest rate discount in exchange for weekly check-ins with chatbot. The chatbot would gauge financial stress based on borrower answers and predict which borrowers were at risk of default.Led a team to consolidate and reconcile loan origination data into a single ground truth. Designed and built a replacement loan management system to properly process loan book. Instilled a data-driven and process-driven culture to reduce manual errors and increase efficiency. Navigated company through COVID and a months-long debt collection moratorium and improved collection process to recover from years old defaulted loans.

Founded and led Pez.AI for six years. Raised $500k in angel round. Pez.AI initially developed and marketed an enterprise chatbot authoring platform. Established Philippine subsidiary and grew company to about 18 people. Established partnerships with HR consultancies Mercer and Buck, resulting in production chatbots for notable clients CBS and Ingram. Winner of AO.com (UK retailer) startup competition for workflow automation via chatbots.During COVID, pivoted to building turnkey bots for an "AI workforce". These chatbots fulfilled complete roles within an organization. Our AI workforce included- Dudley: a natural language chatbot that adapted interview questions based on candidate experience and automatically scored responses. Candidates were told immediately after the interview whether they would get an in-person interview or not. By streamlining our interviewing process, we shortened time to hire to under a week.- Cassie: an AI sales assistant for solopreneurs. Cassie was designed to replace website modals with a chatbot that engaged users to understand their intent directly. Cassie automated portions of the Sandler sales process to identify a user's pain point and determine where in the sales process the user was. This information was collected and used to analyze user traffic more directly than with Google Analytics.- Proctor: a project management chatbot that monitored Kanban boards. Proctor ensured board rules were followed and that the board was regularly updated. Proctor automatically generated a daily standup report and release dates and posted them to a Slack channel. Developers saved time since they didn't need to post redundant information.I personally created the AI engine for classifying input and actions. Created a proprietary functional programming that was integrated into the chatbot platform. Users could write Excel-like formulae to read and process data to provide data-driven, personalized responses.

New York, Ny, Us

I teach various mathematics and machine learning courses at CUNY's new MS in Data Analytics. My lectures are online at http://cartesianfaith.com/category/cuny-ms-data-analytics/

New York, Ny, Us

I'm teaching an NLP for Finance course in the Masters of Financial Engineering program fall 2017

Minds on Fire is disrupting the foster care sector by providing an accessible online platform to help youth transition out of the foster care system. Instead of offering one-off life skills workshops, MoF combines high-touch workshops with a continuous learning environment to guide youth from theory to practice. The curriculum emphasizes critical thinking and resourcefulness that the youth apply to developing a personalized skill set. I advise on business and product strategy, helping to define the overall product road map as well as strategic technology decisions for the company.

New York, Ny, Us

New York, Ny, Us

Westport, Connecticut, Us