AI, Biotechnology, Data Analysis, Genomics, Infectious Disease, Machine Learning, Medicine, Microbiology, Nanotechnology, RNA Research, Sustainable Manufacturing, Synthetic Biology
2014
United States
Sedna Genome, Inc.; University of Notre Dame; Dartmouth College; Seattle Biomedical Research Institute; Sedna.bio; Egerton University; IBM; Saguaro Capital Management; Tafuta (User Generated Search Engine); Anza Bio; Next Einstein Forum (NEF); Perelman School of Medicine at the University of Pennsylvania; Sayansia; IBM Research; Singularity University; Michigan Medicine
Siwo Research focuses on leveraging AI and computational approaches to gain fundamental insights into biology, speeding up drug discovery, clinical medicine, and promoting health equity. // Geoffrey Siwo is a Computational Biologist with a passion for technology, history, and creating things from scratch. He enjoys playing soccer, exploring the intersection of history and technology, visiting local coffee shops, going for walks, and engaging in hands-on activities with his sons. Geoffrey values humility, thoughtful expression, and prioritizing diverse perspectives in technology design. With a background in Biological Sciences and Biomedical Science, he is an expert in Genomic medicine, systems biology, RNA science, drug discovery, innate immunity, cancer biology, global health, AI/machine learning, and natural language processing. Geoffrey is a Research Assistant Professor at Michigan Medicine, University of Michigan, and has been recognized as a TED Fellow and Next Einstein Forum Fellow. He believes in the transformative power of technology when designed to benefit everyone and emphasizes the importance of community support and care for loved ones. // Accelerating discovery & sustainable manufacturing of therapeutics using nature’s ingenuity augmented with AI // Accelerating discovery & sustainable manufacturing of therapeutics using nature’s ingenuity augmented with AI // Developing the United Genomes Project- the first open source genetic database for African populations comprising an education and open innovation platform for solving genomic medicine challenges. www.unitedgenomes.org // Research Scientist, IBM Research-Africa, South Africa LabGenomics Specialist, IBM TJ Watson Research Center, Yorktown Heights, New York // Reverse Engineering Genetic NetworksLeveraging Community Intelligence for Systems Biology Models // Computational Design of T-cell Antigens for Malaria at the Malaria Antigen Discovery Group.Implementing machine learning methods in the experimentally intractable malaria parasite liver stage forms for gene dicovery // Developing the United Genomes Project- a cloud based computational resource for genomic medicine research, education and open innovation, especially in African populations. www.unitedgenomes.org // A Team developing a Human Computation Platform that leverages symbiotic human-computer interaction for Drug Discovery, Nanotechnology and 3D Problem Solving: Founded team, filed provisional patent application, secured funding and engaged private partners. // Part of a team working towards positively impacting a billion people in the next 10 years. // A user generated search engine and social network for the developing world. // // // Best performing model in the Dialogue for Reverse Engineering Assessments and Methods (DREAM6) promoter activity challenge that was aimed at predicting protein production levels of synthetic and natural genes using DNA sequence. // A graphical user interface for accessing text message (SMS) based information services such as banking, bills and web search without the need for numerous keywords or shortcodes // Sedna Genome, Inc.; University of Notre Dame; Dartmouth College; Seattle Biomedical Research Institute; Sedna.bio; Egerton University; IBM; Saguaro Capital Management; Tafuta (User Generated Search Engine); Anza Bio; Next Einstein Forum (NEF); Perelman School of Medicine at the University of Pennsylvania; Sayansia; IBM Research; Singularity University; Michigan Medicine // Geoffrey Siwo is a research scientist with a focus on accelerating the discovery and sustainable manufacturing of therapeutics by integrating nature's ingenuity with AI. He has a background in genomics and has worked on projects like the United Genomes Project, an open-source genetic database for African populations. With experience at IBM Research in Africa and the United States, Geoffrey has expertise in reverse engineering genetic networks, computational design of T-cell antigens for diseases like malaria, and implementing machine learning methods in genomics research. He is also involved in developing innovative platforms for human-computer interaction in drug discovery and nanotechnology. // I am trying to change who, where and how science is conducted across the world so everyone can enjoy the benefits of science. I believe that the democratization of science and the abstraction of human challenges to information problems, humanity could accelerate scientific advances and make them more equitable. While my primary focus is especially on how this applies to human health, I believe its implications touch every facet of human needs and challenges in a fast, changing world. // Geoffrey Siwo is a Computational Biologist and Research Assistant Professor at Michigan Medicine, University of Michigan. His research is centered on utilizing AI and computational methods to advance biological insights, expedite drug discovery, enhance clinical medicine, and advocate for health equity. With a background in Biological Sciences and Biomedical Science, Siwo is an expert in Genomic medicine, systems biology, RNA science, drug discovery, innate immunity, cancer biology, global health, AI/machine learning, and natural language processing. He has contributed significantly to projects like the United Genomes Project and has experience in reverse engineering genetic networks, computational design of T-cell antigens, and implementing machine learning in genomics research. Siwo is dedicated to democratizing science and leveraging technology to address human challenges across various domains, particularly in healthcare, with a vision to make scientific advances more accessible and equitable globally. // Systems biologist // Geoffrey Siwo is a computational biologist with key interests in the development of scalable solutions for genome medicine. As an undergraduate in Kenya, Geoffrey independently developed a novel hypothesis for HIV drug resistance through computational analysis of retrovirus-like sequences in the human genome, performing all the analysis at local internet cafes and later presenting the work at the American Society for Microbiology annual meeting on anti-microbial therapeutics. He has continued to pioneer the development of novel methods for decoding information in DNA including in 2014, developing the top solution for estimating human age from DNA (Innocentive Challenge 9933359) that uses DNA sequencing. In 2011, he developed the top computational model for predicting expression of natural and engineered yeast ribosomal genes using DNA sequences in the IBM led Dialogue for Reverse Engineering Assessments and Methods (DREAM) challenges. He leads the development of Fit2Cure- the first computer game that abstracts a fundamental step of drug discovery into a shape fitting game. He is a co-founder of Helix Nanotechnologies- a company developing a DNA based recording device that records information inside cells. He is currently based at Dartmouth Medical School where he is set to launch the first open source genetic database for African populations and educational platform for genome medicine. He holds a PhD degree in Biology from the University of Notre Dame and is the recipient of several awards including an IBM PhD scholarship and a Young Investigator Award from Sage Bioinetworks, a leading open science organization. // Geoffrey is currently a research assistant professor at the Center for Research Computing and the Eck Institute for Global Health, University of Notre Dame, IN, USA. His research focuses on accelerated and equitable innovation using emerging computational technologies such as artificial intelligence, programmable biotechnologies such as CRISPR/Cas systems and frameworks for scientific discovery at a global scale such as open innovation challenges. Previously, he was a lead researcher at IBM Research Africa and a co-founder of Helix Nanotechnologies, a DNA nanotechnology company. His work has been featured in several media including CNN, USA Today, Fast Company, Ozy, among other media. // Geoffrey Siwo is a Computational Biologist and Research Assistant Professor at Michigan Medicine, University of Michigan. His research is centered on utilizing AI and computational methods to advance biological insights, expedite drug discovery, enhance clinical medicine, and advocate for health equity. With a background in Biological Sciences and Biomedical Science, Siwo is an expert in Genomic medicine, systems biology, RNA science, drug discovery, innate immunity, cancer biology, global health, AI/machine learning, and natural language processing. He has contributed significantly to projects like the United Genomes Project and has experience in reverse engineering genetic networks, computational design of T-cell antigens, and implementing machine learning in genomics research. Siwo is dedicated to democratizing science and leveraging technology to address human challenges across various domains, particularly in healthcare, with a vision to make scientific advances more accessible and equitable globally. // Systems biologist // technology, education, led, data, machine learning, equity, medicine, infectious disease, research, coffee, microbiology, design, mining, open source, genomics, data analysis, biotech, data mining, nanotechnology, malaria, ai, synthetic biology, rna, science, sustainable factories, biotechnology, artificial intelligence, manufacturing // Brighton|USA|South Africa|New York|Michigan|South Bend|United States|Yorktown Heights|Indiana
Brighton|USA|South Africa|New York|Michigan|South Bend|United States|Yorktown Heights|Indiana