Previous Spotlights
Krithik Ramesh in Computer Science
Meet Krithik Ramesh:
17 year old Krithik Ramesh from Denver, Colorado is interested in Machine Learning, Medicine, and Engineering. He has won multiple prestigious awards revolving around computer science, conducted lots of research, done internships under many well known companies/universities and has been featured in well reputable media sources.
What does he do:
Krithik has accomplished many things at the young, ripe age of 17. One of his such accomplishments is getting named “Innovator to Watch” by Smithsonian Magazine. Krithik Ramesh developed a real-time navigation system for spinal reconstruction surgery to guide surgeons using augmented reality and machine learning. Currently, he is working on developing a fetal cardiac diagnostics platform to better diagnose congenital heart disease in utero. His medical projects include working on a team that is developing a low-volume blood diagnostics system
Click the link below to visit Krithiks website and know more about him!
Anika Chebrolu- Finding a solution to COVID-19 using in-silico methodology
Meet Anika Chebrolu:
14-year-old Anika Chebrolu from Frisco, Tex. the winner of the 2020 3M Young Scientist Challenge, the nation’s premier middle school science competition. Anika used in-silico methodology for drug discovery to find a molecule that can selectively bind to the spike protein of the SARS-CoV-2 virus to find a cure for COVID-19.
In her study, Anika discovered a molecule that can selectively bind to the spike protein of the SARS-CoV-2. Binding and inhibiting this viral protein would potentially stop the virus entry into the cell, creating a viable drug target. In her research, Anika screened millions of small molecules for drug-likeness properties, ADMET properties, and binding affinities against the spike protein using numerous software tools. The one molecule with the best pharmacological and biological activity towards the spike protein of the SARS-CoV-2 virus was chosen as the lead molecule that can be a potential drug for the effective treatment of COVID-19.
What does she do:
In her study, Anika discovered a molecule that can selectively bind to the spike protein of the SARS-CoV-2. Binding and inhibiting this viral protein would potentially stop the virus entry into the cell, creating a viable drug target. In her research, Anika screened millions of small molecules for drug-likeness properties, ADMET properties, and binding affinities against the spike protein using numerous software tools. The one molecule with the best pharmacological and biological activity towards the spike protein of the SARS-CoV-2 virus was chosen as the lead molecule that can be a potential drug for the effective treatment of COVID-19.
Click the link below to know more about Anikas research for a cure for COVID-19
Jacob Yasonik - Multiobjective De Novo Drug Design with Recurrent Neural Networks and Nondominated Sorting.
Meet Jacob Yasonik:
18 year old Jacob Yasonik, an enthusiastic teen entrepreneur in the STEM field who will be going to the Massachusetts Institute of Technology in the fall created a project that would bring a new approach to pharmaceutical drug development using artificial intelligence. He wants to continue his education in artificial intelligence and computational biology there. He is a Davidson Fellows Scholarship Program winner for his project, Multiobjective De Novo Drug Design with Recurrent Neural Networks and Nondominated Sorting. He is one of 20 students across the country to win this award. He received $50,000 to further his research.
What does he do:
Jacob's artificial intelligence-based idea would generate drug-like molecules from scratch. According to the press release from the Davidson Fellows Scholarship Program, "Yasonik’s new artificial intelligence-based approach could significantly improve drug discovery by reducing the reliance on trial and error and pre-made molecular databases through a generative approach due to its unique ability to optimize for many molecular characteristics at once, which could result in far better success rates further along the pharmaceutical pipeline."
Click the link below to know more about Multiobjective De Novo Drug Design with Recurrent Neural Networks and Nondominated Sorting
Dr Andrii Gorelik From Team Drug Discovery Technologies
Meet Andrii Gorelik:
Andrii Gorelik an enthusiastic entrepreneur in the STEM field from the Department of Chemistry at Imperial College London and the Francis Crick Institute, was part of a six-person team that won this year’s Merck Innovation Cup, a competition run by the pharmaceutical company to nurture new business ideas for unmet medical needs.
What does he do:
Team Drug Discovery Technologies’ innovation involves new kinds of drugs known as protein degraders. Proteins are involved in all biological processes, including a wide range of diseases, from cancer to immune system and brain disorders. These are often tackled with drugs called protein inhibitors, which block their action in the body.
Click the link below to know more about Team Drug Discovery Technologies!
Rahul Kumar from ALUNA
Meet Rahul Kumar:
Rahul Kumar is an enthusiastic young entrepreneur in the STEM field who is passionate about robotics, computer vision, and biomedical applications of Artificial Intelligence. He is currently a rising senior at Independence High School. He has conducted many research projects at the University of Pennsylvania that are waiting to be published.
What does he do:
Rahul is the co-founder of the startup ALUNA. ALUNA Research Fellowship's goal is to give other students an opportunity to conduct quality Artificial Intelligence research and publish their work.
Click the link below to support Rahul's start-up!
Lillian Kay Peterson
Meet Lillian Kay Peterson:
Lillian Peterson is an aspiring young entrepreneur in the STEM field who is passionate about molecular biology and computer programming. She is currently an incoming freshman at Harvard. Before college, she had completed six research projects on topics that focused on climate change, food shortages, malnutrition, and cancer.
What does she do:
Lillian has created a model to predict crop fields in Africa three to four months before harvest season using satellite imagery. She has also won first place at the world's most oldest and prestigious science fair (Regeneron Science and Talent Search)and received $250,000 to further develop her idea.
Click the link below to support Lillian's start-up!
Neil Mitra from Mitra Biotechnologies
Meet Neil Mitra:
Neil Mitra is an aspiring young entrepreneur who is passionate about the biomedical engineering field. He is currently an 11th grader at Waterloo Collegiate Institute. He has conducted research in the field of biotechnology at the Waterloo Institute for Nanotechnology and the University of Waterloo.
What does he do:
Neil's goal is to create a new Health Care system that is affordable to all. By using artificial intelligence and Nanotechnology, he hopes to revolutionize the Health Care system in a modern yet cost effective approach.
