Meet our growing Machine Learning team members Rita
Meet the Team
Data driven, intellectually curious and enthusiastic about applying machine learning techniques to discover hidden truths in science.
My vision is to organize San Diego’s thriving data science community into a globally recognized center for artificial intelligence research & next generation sequencing.
AllSan DiegoNew York
AllLeadershipEvent PlanningKaggle AdminWeb / Social Media
New York Chapter Organizer
New York Chapter Organizer
Experience in managing growth and success of a number of Internet based companies. Founding partner of several Internet based business operations. Developed Internet startup concepts into operationally sound, and profitable mature operations. Broad large ecommerce platform, supporting technologies, and general business application deployment experience. Strong ecommerce site and mobile operations experience.
Rita received NIH-funded research training in computational science followed by a career within the biotech industry as a genomic data analyst and software engineer. She is experienced in delivering optimized solutions that streamline data workflow and validate data integrity while performing analytics for descriptive and predictive insights. With an interdisciplinary background, her role also includes serving as a liaison with internal stakeholders to translate their unique business needs into technical specifications. Currently, she is completing a curriculum on Data Science/Big Data and volunteers her time to help manage the website for the Machine Learning Society. Her goal is to eventually expand the applications of her quantitative sciences and software development background into a career as a data engineer/data scientist.
Arjun is a programmer, a statistician and a public speaker, giving insights from data and building systems in place to improve processes further. With a background in Automation and Robotics Engineering, He has worked as a Scientist where his ability to think critically and creatively has accomplished projects as Self Guidance Systems and machine vision based drone transportation system in urban areas. His capacity to generate disruptive ideas and ability to bring them out from imagination to reality is truly moving. One of his life's philosophy is Anything is possible if you keep learning from your failures, put down your feelings and go back to moving forward.
Trained biochemist interested in opportunities to apply and learn techniques in Biotechnology development. energetic, curious, and driven to relentlessly pursue new frontiers and challenges. Recently I was working in Dr Hughes labs Dendrin (DDN) subcellular localization project. My primary responsibility was to determine whether Mammalian Interspatial Repeats influences the subcellular localization of DDN. These are the skills that I have developed through the course of this project. This opportunity enabled me to rapidly develop new skills and anaylitical methods of thinking. Along with exposing me to new social and professional enviroments where a tactful nature that builds cohesive and effective teams is required.
Experienced SWE & project/program manager (Agile, Scrum, iterative) using SDLC, BDLC, and PLC. I enjoy delivering quality products/services consistently with predictability, on-time, & under budget. Interested in growing with AI, ML, big data, ...
Well practiced in technology trends, software engineering, consumer experience, people skills, team building, bringing order to chaos, creative thinking, open collaborations, and working with cross-functional teams in designing and improving processes and tools.
Tingting Chang got her master degree in Computer Science from the George Washington University. She is a self-starter and hardworking data scientist well equipped with data analytics skills to obtain actionable insights from massive datasets without losing sight of the big picture. A strategic minded analyst, with progressive experience in research, analytics, modeling, process improvement, machine learning, and developing data products. Organized, detail-oriented, driven and takes initiative. Works well within a team environment; adept at delivering presentations and public speaking; excellent interpersonal, written and oral communication skills.
Leon Derczynski is a scientific researcher at the University of Sheffield. An active computational linguistics researcher, his work focuses on artificial intelligence, social media, machine learning, and how we talk about time and space. He regularly gives tutorials and talks across the world on extracting information from social media, and is at the forefront of mining temporal and spatial information from language.
-I am currently pursuing my master degree in Rady School of Management with a background of engineering and economics, trying to find volunteers, projects, competitions as well as internships about data analysis or risk management.
-I love connecting people and match their demands & supplies and I am always helpful.
-I am a good listener and I am good at thinking in other people's position.
-I am Diligent and hard-working.
-I have a passion to hold parties and to be organizers of different kinds of activities and am called 'Xiao King' by my friends which stands for 'King of Social Networking'.
The Machine Learning Society hosts a variety of community building events designed to educate, engage, and inspire our community to push the boundaries of Machine Learning, Bioinformatics, and Artificial Intelligence.
We are actively seeking Volunteers, Speakers, Organizational Alliances and Sponsors, as well as, Venture Capital / Angel relationships.