Min Lee
Founder, CEO & President |
Min Lee is a passionate entrepreneur and innovator. Always seeking out creative solutions to problems, Min Lee has successfully engaged in many large-scale business and government projects on both the national and international level.
After observing and identifying key problems in the medical industry, Min Lee founded IPMD, Inc. to face these challenges. Min continues to be vigilant in working to provide any possible solution; fixated on the goal of eliminating disease. One of his first achievements was developing a point-of-care devices which could simultaneously detect a variety of infectious diseases; he is the chief inventor of the patented technology. He went on to develop the technologies required to create an Artificial Intelligence Platform which could accurately identify chronic diseases during early stages using non-invasive human samples such as blood from fingertip, urine, and/or saliva. He is currently developing unmet solutions for the AI-Human interaction platform that can understand the human emotions accurately. His goal for this project is to prevent and eliminate the depression and mental diseases. Min Lee graduated from the University of California, Berkeley with a bachelor’s degree in Economics. He has been consistently active in supporting entrepreneurial and educational programs among young professionals as well as mentoring students along the way, preparing them to be future leaders in their field. Lee is a Principal Investigator and Preceptor leading a number of UC Berkeley Independent Research Classes such as IB 99/199, MCB 99/199, STAT 199, Econ 197, PP199, Cog Sic 197, PH 297, and CS 97/197. |
Dr. Sean Young, Ph. D
Scientific Advisor |
Dr. Young worked as a psychology expert on human factors at NASA Ames Research Center from 2002 to 2007 and researched on-line user behavior at Cisco Systems. At present, he is an executive director of the University of California Institute for Prediction Technology (UCIPT) and an associate professor of family medicine department at UCLA. His work focuses on studying how social media and mobile technologies can be used to predict and change community and global health behaviors among at-risk populations. As a chief researcher of social media studies at the Harnessing Online Peer Education (HOPE), he became renowned for research on how social media were used to increase HIV prevention and testing among at-risk populations in Los Angeles and Peru. Additional current areas of his focus are as follows: use of social big data to predict monitor disease; technology-based interventions to change health behaviors; and using electronic vending machines for HIV self-testing. His work in the area of family medicine is focused on developing and integrating patient-centered technologies to increase patient engagement and improve health outcomes. Dr. Young's research performances have regularly been reported in influential media such as New York Times, CBS, Fox Radio. Sean Young majored in ethnomusicology at UCLA and received a master's degree in health services research and a PhD in psychology at Stanford University.
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Erik Birkeneder
Outside Intellectual Property Counsel |
Mr. Birkeneder is an attorney at Nixon Peabody, one of the top global law firms, and selected as "Law Firm of The Year” in the 2016 edition of U.S. News-Best Lawyers “Best Law Firms” in Healthcare Sector. He has more than 10 years of legal experiences on intellectual property including patent, trademark, and, technology licenses. He also develops IP strategies for early stage technology companies. This includes the implementation of a formal IP protection process that prioritizes the company’s highest value IP assets. Mr. Birkeneder earned his JD degree at University of Minnesota Law School, and his BS & MS degree in Bio-Medical Engineering at University of Wisconsin Madison.
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Dr. S.K. Moon, Ph. D
Scientific Advisor |
Dr. Moon is a computer & electrical engineer and has more than 25 years of intensive research experience in the field of Deep Neural Hyper Network Algorithms. He is one of the pioneers who developed the voice recognition system that is used in smartphone technology, and his development has been embedded in Samsung mobile devices. Dr. Moon has chosen from Samsung Electronics as the best first vendor partner 3 years in a row. Dr. Moon earned his Ph. D. degree in Electrical Engineering & Computer Science at University of Washington.
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Matthew Lee
Executive Vice President Chief Development Officer, Emotional Intelligence |
Matthew is an expert in Facial Expression-Human Emotions, biomarker discoveries, Point-of-Care diagnostics, and is currently responsible for creating IPMD research strategies and detailed development plans. Matthew holds BS degree in Biomedical Engineering at UC San Diego as well as oncology laboratory experiences from CST in UCSF. Matthew is one of the key developers of MA8789, an innovative and highly effective anticancer agent and immunomodulator.
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Erik Ni
Chief Technology Officer |
Erik is the Chief Technology Officer at IPMD to develop Artificial Intelligence Platform that can interact with human.
Erik has start up experiences including product design, marketing, business development, financial modeling, and market analysis. Erik holds BA Degree in Economics at University of Gothenburg and Master's Degree in Finance at John's Hopkins University. He holds his second Master's Degree in Information System at John's Hopkins University. |
Jian Qiao
Director of Artificial Intelligence |
Jian is the AI Director at IPMD for Project M. He holds M.S. in Quantitative Finance, and graduated from a Data Science Bootcamp from NYC Data Science Academy.
Jian is proficient in Proof of Concept model development, technical consultation, project management, database management, data mining, statistical analysis, data visualization for business decision-making. Jian has the Hands-on experience with Machine Learning, Natural Language Processing, Deep Learning, with progressive experience with Reinforcement Learning. Jian is highly adaptive, ambitious and curious with the great sense of responsibility who does not afraid of confronting and solving the challenging problems. |
Thomas Lane
Director of Full-Stack Engineering |
Thomas is the Director of Full-Stack Engineering at IPMD for Project M. Thomas is in charge of integrating the emotional AI, Project M, with the website. He has designed the website with HTML, CSS, and JavaScript. He has used the web framework Django to develop the website, and have used a combination of Google Cloud, Docker, and TensorFlow Serving to allow users to access the the integrated website and experience with Project M.
He was an Undergraduate Researcher in the Eisen Lab at UC Berkeley. His team developed a Machine Learning Model that can help predict the function of the non-coding region of DNA. The team used TensorFlow to develop a Neural Network and have been working on formatting and classifying data from the genome in order to create the most effective AI possible. He has used Motif Discovery Algorithms to hopefully find underlying motifs that may not have been identified in the lab but are still crucial to enhancer function. Thomas has also worked on the statistical analysis of the predictions made by the AI. Thomas graduated from the University of California, Berkeley with a bachelor’s degree in Computer Science and Genetics. |
Phillip Scott Alexander
Director of PR & Marketing |
Phillip Scott Alexander is the director of PR & Marketing at IPMD, Inc. He became a bioinformatician after his father passed away due to renal cell carcinoma. He has a B.S in biology with a minor in chemistry and a M.S in bioinformatics. He has done work in the area of drug-drug interaction, drug-protein interaction and drug-gene expression interaction for curing cancer for the last three years. He has experience with developing an effective model for predicting drug efficacy on the lymphoma cancer cell line OIC-Ly3. He also contributed to the research for a model to predict drug induced neuropathy. His latest work is on helping develop a model to predict drug efficacy for preventing preterm labor and preeclampsia.
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Rimma Ten
Director of Data Collection |
Rimma Ten is the Director of Data Collection for the AI Human Interaction Project at IPMD, Inc. She is currently developing Artificial Intelligence Platform that can understand human emotions based on various human facial expressions.
She develops a system for consistently categorizing the internal feelings of a person based on their external expressions. Since the start of the project, she has collected and analyzed nearly 50,000 input data out of total of more than 200,000 input data so far. She holds BA degree in English Literature from Namangan University. |
Ayame Yoshizawa
AI PR & Campaign Manager AI-Human Interaction Project Ayame is an Artificial Intelligence PR & Campaign Manager on the AI-Human Interaction Project at IPMD. She studies Media Studies at UC Berkeley. |
Dr. Andrew Lee, DACM
Executive Assistant to CEO Andrew is the Executive Assistant to CEO. Andrew has intensive experiences with start up businesses and holds a wide array of skills including organizing and overseeing various funding opportunities and general management of company operations. He has helped raise approximately $1.5 million in order to fully develop MA8789, an innovative and highly effective anticancer agent and immune-modulator. He is also involved in the entire manufacturing and operating process of MA8789. |
Julie Nguyen
Team Leader, Administration Project 911-ATMA Julie is an Admin team leader of Project 911-ATMA at IPMD, Inc. She holds BA Degree in Molecular Cell Biology at UC Berkeley. She is a Clinical Research Associate at Stanford Medical School. |
Phuong (Fofo) Nguyen
UI/UX Front End Programmer AI-Human Interaction Project Fofo is a UI/UX Front End Programmer to develop AI Platform that can interact with human at IPMD. She studies Cognitive Science and Data Science at UC Berkeley. |
Nicole Xu
AI Research Scientist AI-Human Interaction Project Nicole is a Artificial Intelligence Scientist on the AI-Human Interaction Project at IPMD. She studies Molecular Cell Biology at UC Berkeley. |
Haomin (Mina) Mai
AI Research Scientist AI-Human Interaction Mina is an Artificial Intelligence Research Scientist on the Artificial Intelligence and Human Interaction Project at IPMD. She studies Integrated Biology at UC Berkeley. |
Erica Lee
AI Research Intern AI-Human Interaction Project Erica is an AI Research Intern on the AI-Human Interaction Project at IPMD. She focuses her studies on Computer Science and Data Science at Saratoga High School. |
Yinxu Deng
AI Engineer Intern AI-Human Interaction Project Yinxu is an Artificial Intelligence Engineer Intern on the AI-Human Interaction Project at IPMD. He studies Computer Science at UC Berkeley. |
Jatin Gupta
NLP Developer Intern AI-Human Interaction Project Jatin is a Natural language Processing Developer Intern to develop AI Platform that can interact with human at IPMD. He focuses his studies on Computer Science at Haberdasher's Aske Boys High School. |
John Lee
AI Engineer Intern AI-Human Interaction Project John is an Artificial Intelligence Engineer Intern on the AI-Human Interaction Project at IPMD. He studies Computer Science with Physics at UC Berkeley. |
Madison Palarca Wong
AI Research Intern AI-Human Interaction Madison is an Artificial Intelligence Research Intern on the AI-Human Interaction Project at IPMD. She studies Molecular Cell Biology and Public Health at UC Berkeley. |
Lara Zargarian
AI Research Intern AI-Human Interaction Project Lara is an Artificial Intelligence Research Intern on the AI-Human Interaction Project at IPMD. She studies Molecular Cell Biology at UC Berkeley. |
Jiyoung Kim
AI Data Science Intern AI-Human Interaction Jiyoung is an Artificial Intelligence Data Science Intern on the AI-Human Interaction Project at IPMD. She holds BA Degree in Data Science at UC Berkeley. |
Suchay Gantla
AI Research Intern AI-Human Interaction Project Suchay is an Artificial Intelligence Research Intern on the AI-Human Interaction Project at IPMD. He studies Molecular Cell Biology and Business Administration at UC Berkeley. |
Yuqing Yang
AI data science intern AI-Human Interaction Project Yuqing is an AI Data Science Intern on the AI-Human Interaction Project at IPMD. She holds BA Degree in Statistics at UCLA. |
Yejin Song
AI Research Intern AI-Human Interaction Yejin is an Artificial Intelligence Research Intern on the AI-Human Interaction Project at IPMD. She focuses her studies in law at The Harker School. |
Sue Nguyen
AI Research Intern AI-Human Interaction Project Sue is an Emotional Artificial Intelligence Research Intern on the AI-Human Interaction Project at IPMD. She studies Data Science at UC Berkeley |
William BaI
AI Engineer intern AI-Human Interaction Project William is an AI Engineer Intern on the AI-Human Interaction Project at IPMD. He studies Industrial Engineering & Operation Research at UC Berkeley. |
Jackie Le
AI Research Intern AI-Human Interaction Project Jackie is an Artificial Intelligence Research Intern on the AI-Human Interaction Project at IPMD. She studies Chemical & Bio-molecular Engineering at UC Berkeley. |
Christine Lee
AI Music Therapy & Dialog Flow Development Intern AI-Human Interaction Christine is an Artificial Intelligence Music Therapy and Dialog Flow Development Intern on the AI-Human Interaction Project at IPMD. She focuses her studies on Music and Computer Science at Saratoga high school. Christine is the Concert Master at California Youth Symphony. She is an incoming student at Harvard University in 2020. |
