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Alexander Johansen
PhD candidate in Computer Science at Stanford University
activity tracker, computer science, computer vision, database, deep learning, fitbit, gene, gene expression, genetics, health ai, health data, health ml, intelligence, language, language model, machine learning, machine learning platform, machine learning tools, ml, natural language processing, neural network, phenotype, privacy, proteomics, recurrent neural network, science, semantics, time complexity, world wide web
John Thompson
Global Head, Advanced Analytics & Artificial Intelligence (AI) at CSL Behring
adherence (medicine), ai, ai4, ai4 2020, analytics, angioedema, animal testing, artificial, artificial intelligence, artificial neural network, automation, backpropagation, behavior, biology, biopharmaceutical, blood donation, blood plasma, breast cancer, cancer, care, clinical trial, comorbidity, computational biology, computer vision, convolutional neural network, covid-19 vaccine, csl behring, data, data science, data scientist, drug discovery, food and drug administration, forecasting, genetics, genomics, george church (geneticist), health, health care, healthcare, healthcare analytics, healthcare data, hereditary angioedema, humans, humans of data science, immunodeficiency, influenza, intelligence, john thompson, learning, linkedin, machine, machine learning, man's search for meaning, medication, ml, network, orphan drug, pharmaceutical industry, prediction, rare disease, robot, simulation, statistics
Greg Bowman
Associate Professor of Biochemistry & Molecular Biophysics at Washington University
active site, antibiotic, antibody, bacteria, biology, cogx2021, color, computer cluster, computer programming, covid-19 pandemic, deep learning, disk storage, exascale computing, flops, genetics, graphics processing unit, immune system, infection, internet, jointheconversation, kubernetes , life, machine learning, map, meat, molecular machine, molecule, motion, pesticide, programming language, protease, protein, protein folding, protein–protein interaction, sampling (statistics), science, semen, sense, severe acute respiratory syndrome coronavirus 2, simulation, small molecule, social media, supercomputer, vaccine, virus
Stacie Brown
Senior Field Solutions Architect - Analytics at Pure Storage at Pure Storage
bacteria, biology, cogx2021, computer cluster, computer programming, deep learning, disk storage, exascale computing, genetics, graphics processing unit, immune system, infection, jointheconversation, kubernetes , life, machine learning, meat, molecular machine, pesticide, programming language, sampling (statistics), semen, severe acute respiratory syndrome coronavirus 2, social media, supercomputer, virus
Brian Carpenter
Sr. Dir. FlashBlade Technology Strategy at Pure Storage
bacteria, biology, cogx2021, computer cluster, computer programming, deep learning, disk storage, exascale computing, genetics, graphics processing unit, immune system, infection, jointheconversation, kubernetes , life, machine learning, meat, molecular machine, pesticide, programming language, sampling (statistics), semen, severe acute respiratory syndrome coronavirus 2, social media, supercomputer, virus
James Ashenhurst
Health Product R&D Team at 23andMe
23andme, biology, cystic fibrosis, cystic fibrosis transmembrane conductance regulator, direct-to-consumer advertising, dominance (genetics), gene, general data protection regulation, genetic disorder, genetics, genome-wide association study, genomics, gregor mendel, heredity, heritability, machine learning, meta-analysis, mutation, parameter, python (programming language), regression analysis, scientific workflow system, statistics, subscription business model, type 2 diabetes
Shannon Hamilton
Product Manager at 23andMe
23andme, biology, cystic fibrosis, cystic fibrosis transmembrane conductance regulator, direct-to-consumer advertising, dominance (genetics), gene, general data protection regulation, genetic disorder, genetics, genome-wide association study, genomics, gregor mendel, heredity, heritability, machine learning, meta-analysis, mutation, parameter, python (programming language), regression analysis, scientific workflow system, statistics, subscription business model, type 2 diabetes
Tim Draper
Founder at Draper Associates, DFJ & Draper University
abra, abra (province), adam levy, aibc summit, alon goren, altcoin, amazon (company), amazon alexa, angel investor, ann winblad, apple inc., argentine peso, asset classes, astronomy , auction, author, bank, big data, bill gates, bit, bitcoin, bitcoin 101, bitcoin network, bitcoin price, bitcoin use, bitcoincash, bitcoinmining, bitcoinnews, bitcoinprice, bitcoins, bitcointrading, blockchain, blockchain conference, blockchain education, blockchaintechnology, bond (finance), book, brand, btc, business, business incubator, business model, california, capital structure, capitalism, cash, central bank, cesc, chief executive officer, china, china–united states trade war, citizenship, coinbase, coindesk, communication, communication protocol, conference, covid-19 pandemic, coworking, credit, credit card, crowdfunding, crypto, crypto bulls, cryptocurrencies, cryptocurrency, cryptocurrency exchange, cryptoeconomics, cryptonews, cryptotrading, currency, darknet market, data, data analytics, debit card, decentralization, decentralized finance, deep learning, defi, deregulation, derivative (finance), desert, devops, dictatorship, digital currency, digital health, digital security, digital transformation, disease, diversification (finance), donald trump, draper, draper fisher jurvetson, draper goren holm, draper university, draper venture network, dubai, dubai multi commodities centre, economic bubble, economy, ecosystem, education, efficacy, elon musk, emerging market, employment, energy, entertainment, entrepreneurship, eth, ethereum, ethereum silicon valley, ethereum yoni assia, etoro, euro, event, facebook, fairchild semiconductor, feeling, fiat money, finance, financial transaction, fintech, fireside chats, food, food and drug administration, franc, french franc, future, genetics, god, grocery store, hacker, health, health care, hewlett-packard, high-net-worth individual, hummer winblad venture partners, hyperinflation, ice, inflation, initial coin offering, initial public offering, innovation, insurance, insurance policy, intel, internet, invest, investing, investment, investor, investors, jeff bezos, josef holm, la blockchain summit, la blockchain week, learning, lee kuan yew, leverage (finance), libra, libra (cryptocurrency), lightning network, litecoin, logos, machine learning, mainstream, market (economics), market liquidity, matt boseo, matter, matthew le merle, medical diagnosis, medical record, mentorship, michael saylor, microsoft, microstrategy, millennials, money, monopoly, moore's law, nationalism, news, north korea, novel, option (finance), pagerduty, patient, peer-to-peer, petrodollar recycling, philosophy, physician, poverty, precious metal, price, proof of work, renting, reputation, retail, ripple (payment protocol), risk, rumor, san francisco blockchain week, sarbanes–oxley act, sf blockchain week, sfbw19, sfbw2020, sheryl sandberg, shopping, sid mofya, silicon valley, silk road (marketplace), singapore, smart contract, social media, socialism, society, software , software development, solar panel, southern california, space, spacex, stablecoin, starbucks, startup company, steve jobs, steven mnuchin, stock, stock market, stock trader, summit, surveillance, surveillance capitalism, swap (finance), syria, tax, technology, technology investor, therapy, tim draper, tim draper bitcoin, tokenization (data security), trader, trading, twitter, u.s. securities and exchange commission, uber, unicorn (finance), united nations development programme, united states, universe of the legend of zelda, university of california, los angeles, venezuelan bolívar, venture capital, viral marketing, virtual currency, warren buffett, wealth, welfare, wells fargo, whatsapp, wisdom, wood, youtube, zack seward
Jonathan Stokes
Banting Fellow at Broad Institute of MIT and Harvard
antibiotic, antimicrobial resistance, artificial neural network, atom, bacteria, chemical bond, chemistry, evolution, experiment, gas, genetics, gram-negative bacteria, infection, machine learning, mechanism of action, molecule, natural product, natural selection, pathogenic bacteria, phenotypic screening, prediction, probability distribution, protein, statistics, training, validation, and test sets
Kyle Swanson
Researcher at MIT CSAIL
antibiotic, antimicrobial resistance, artificial neural network, atom, bacteria, chemical bond, chemistry, evolution, experiment, gas, genetics, gram-negative bacteria, infection, machine learning, mechanism of action, molecule, natural product, natural selection, pathogenic bacteria, phenotypic screening, prediction, probability distribution, protein, statistics, training, validation, and test sets
Nicco Dehaan
COO, Master Grower, Director at Christina Lake Cannabis
christina lake cannabis, benzinga cannabis capital conference 2021, biomass, black market, brand, cannabis, cannabis 2021, cannabis capital conference, cannabis event 2021, cannabis funds, cannabis hedge funds, cannabis impact fund, cannabis in canada, cannabis industry, cannabis investor , cannabis news 2021, cannabis opportunities , climate, distillation, electronic cigarette, european union, experience, fertilizer, genetics, greenhouse, harvest, investing in the cannabis industry , joel dumaresq , lake, moves like jagger, music, nicco dehaan, nothing, plant, pricing, rock music, soil, steel, tetrahydrocannabinol, weed
Joel Dumaresq
President and CEO at Christina Lake Cannabis Corp
christina lake cannabis, benzinga cannabis capital conference 2021, biomass, black market, brand, cannabis, cannabis 2021, cannabis capital conference, cannabis event 2021, cannabis funds, cannabis hedge funds, cannabis impact fund, cannabis in canada, cannabis industry, cannabis investor , cannabis news 2021, cannabis opportunities , climate, distillation, electronic cigarette, european union, experience, fertilizer, genetics, greenhouse, harvest, investing in the cannabis industry , joel dumaresq , lake, moves like jagger, music, nicco dehaan, nothing, plant, pricing, rock music, soil, steel, tetrahydrocannabinol, weed
Prakruthi Prabhakar
Senior Software Engineer, Machine Learning at LinkedIn
artificial intelligence , 23andme, acm 2020, aim (software), behavioral economics, computer science 2020, computer science event 2020, computer vision, covid-19 pandemic, covid-19 testing, data science, deep learning, economic inequality, genetics, infection, intelligence, interdisciplinarity, kdd2020, kdd2020 women’s panel, labour economics, machine learning, mind, misinformation, protein, protein–protein interaction, psychology, recession, self, severe acute respiratory syndrome coronavirus 2, social distancing, unemployment, virus
Vanessa Murdock
Applied Science Manager at AWS
artificial intelligence , 23andme, acm 2020, aim (software), behavioral economics, computer science 2020, computer science event 2020, computer vision, covid-19 pandemic, covid-19 testing, data science, deep learning, economic inequality, genetics, infection, intelligence, interdisciplinarity, kdd2020, kdd2020 women’s panel, labour economics, machine learning, mind, misinformation, protein, protein–protein interaction, psychology, recession, self, severe acute respiratory syndrome coronavirus 2, social distancing, unemployment, virus
Subarna Sin
Engineering Leader, Machine Learning at 23andMe
artificial intelligence , 23andme, acm 2020, aim (software), behavioral economics, computer science 2020, computer science event 2020, computer vision, covid-19 pandemic, covid-19 testing, data science, deep learning, economic inequality, genetics, infection, intelligence, interdisciplinarity, kdd2020, kdd2020 women’s panel, labour economics, machine learning, mind, misinformation, protein, protein–protein interaction, psychology, recession, self, severe acute respiratory syndrome coronavirus 2, social distancing, unemployment, virus
Sihem Amer-Ya
Directrice de Recherche at CNRS
artificial intelligence , 23andme, acm 2020, aim (software), behavioral economics, computer science 2020, computer science event 2020, computer vision, covid-19 pandemic, covid-19 testing, data science, deep learning, economic inequality, genetics, infection, intelligence, interdisciplinarity, kdd2020, kdd2020 women’s panel, labour economics, machine learning, mind, misinformation, protein, protein–protein interaction, psychology, recession, self, severe acute respiratory syndrome coronavirus 2, social distancing, unemployment, virus
Karin Kimbrough
Chief Economist at LinkedIn
artificial intelligence , 23andme, acm 2020, aim (software), behavioral economics, computer science 2020, computer science event 2020, computer vision, covid-19 pandemic, covid-19 testing, data science, deep learning, economic inequality, genetics, infection, intelligence, interdisciplinarity, kdd2020, kdd2020 women’s panel, labour economics, machine learning, mind, misinformation, protein, protein–protein interaction, psychology, recession, self, severe acute respiratory syndrome coronavirus 2, social distancing, unemployment, virus
Elaine Nsoesie
Assistant Professor at Boston University School of Public Health
artificial intelligence , 23andme, acm 2020, aim (software), behavioral economics, computer science 2020, computer science event 2020, computer vision, covid-19 pandemic, covid-19 testing, data science, deep learning, economic inequality, genetics, infection, intelligence, interdisciplinarity, kdd2020, kdd2020 women’s panel, labour economics, machine learning, mind, misinformation, protein, protein–protein interaction, psychology, recession, self, severe acute respiratory syndrome coronavirus 2, social distancing, unemployment, virus
Calandra Moore
U.S. Department of Defense at Data Scientist
artificial intelligence , 23andme, acm 2020, aim (software), behavioral economics, computer science 2020, computer science event 2020, computer vision, covid-19 pandemic, covid-19 testing, data science, deep learning, economic inequality, genetics, infection, intelligence, interdisciplinarity, kdd2020, kdd2020 women’s panel, labour economics, machine learning, mind, misinformation, protein, protein–protein interaction, psychology, recession, self, severe acute respiratory syndrome coronavirus 2, social distancing, unemployment, virus
Sylvia Richardson
Professor of Biostatistics at Medical Research Council
artificial intelligence, bias, big data, biobank, biomarker, computer science, data ethics, data science, database, disease, dna sequencing, electronic health record, genetics, governance, machine learning, mammography, medical guideline, national health service, nhs foundation trust, organ (anatomy), population health, prediction, primary care, sepsis, statistics, system, the alan turing institute, triage, turing, virus, workflow
Amrita Kumar
AI Clinical Lead at Frimley Health NHS Foundation Trust
artificial intelligence, bias, big data, biobank, biomarker, computer science, data ethics, data science, database, disease, dna sequencing, electronic health record, genetics, governance, machine learning, mammography, medical guideline, national health service, nhs foundation trust, organ (anatomy), population health, prediction, primary care, sepsis, statistics, system, the alan turing institute, triage, turing, virus, workflow
Alastair Denniston
Consultant Ophthalmologist/Hon Senior Lecturer at University of Birmingham
artificial intelligence, bias, big data, biobank, biomarker, computer science, data ethics, data science, database, disease, dna sequencing, electronic health record, genetics, governance, machine learning, mammography, medical guideline, national health service, nhs foundation trust, organ (anatomy), population health, prediction, primary care, sepsis, statistics, system, the alan turing institute, triage, turing, virus, workflow
Paul Elliott
Professor of Epidemiology and Public Health Medicine at Imperial College London
artificial intelligence, bias, big data, biobank, biomarker, computer science, data ethics, data science, database, disease, dna sequencing, electronic health record, genetics, governance, machine learning, mammography, medical guideline, national health service, nhs foundation trust, organ (anatomy), population health, prediction, primary care, sepsis, statistics, system, the alan turing institute, triage, turing, virus, workflow
Tom Standage
Deputy Editor and Head of Digital Strategy at The Economist
artificial intelligence, bias, big data, biobank, biomarker, computer science, data ethics, data science, database, disease, dna sequencing, electronic health record, genetics, governance, machine learning, mammography, medical guideline, national health service, nhs foundation trust, organ (anatomy), population health, prediction, primary care, sepsis, statistics, system, the alan turing institute, triage, turing, virus, workflow
Anson Abraham
Data Analytics and Data Science at Envisagenics
23andme, amazon relational database service, binary file, biological data sets, biomarker, biopsy, bit, cancer, computer, computer file, database, dna sequencing, file format, flash memory, flat-file database, genetics, genome, genomics, gigabyte, human genome, machine learning, pharmaceutical industry, prediction, sequencing, sql, the cancer genome atlas
Samuel Schmidgall
Researcher at U.S. Naval Research Laboratory
a roadmap to never-ending rl , activation function, algorithm, artificial intelligence, artificial neural network, automl, backpropagation, biology, brain, cat, complexity, computer science, computer vision, deep learning, evolution, experiment, eye, feedback, function (mathematics), genetic algorithm, genetics, hyperparameter (machine learning), iclr 2021, iclr 2021 workshop, iclr virtual conference , learning, machine learning, mutation, nature, network optimization , neural architecture search, neural network architectures, neural networks, number, population size, research, sampling (statistics), samuel schmidgall, talk by samuel schmidgall, variance, visual processing
Shafi Goldwasser
Director at Simons Institute for the Theory of Computing
accuracy and precision, ai, blockchain, computer, computer hardware, computer science, computing, cryptocurrency, cryptography , data science, data visualization , digital signature, electrical engineering, encryption, engineering, genetics, genotype, information theory, key (cryptography), key exchange, learning, library, logistic regression, machine learning, medical privacy, microcode, mit, password, phenotype, prediction, privacy, programming language, proof of work, prototype, public-key cryptography, reason, regression analysis, research, robust statistics, ron rivest, rsa (cryptosystem), secret sharing, secure multi-party computation, shafi goldwasser, simulation, standford university, stanford conference, statistics, surveillance, technology, transport layer security, trust (social science), university of california berkeley, verifiable secret sharing, voter-verified paper audit trail, weizmann institute of science, wids artificial intelligence, wids datathon, wids podcast, women in data, women in data science, women in technology, women in technology conference, youtube
Brandon Quittem
Head of User Acquisition at Swan Bitcoin
antifragility, biodiversity, bitcoin, bitcoin network, brain, carbon, charles darwin, complexity, consensus (computer science), cryptocurrency, decentralization, evolution, genetics, lightning, lightning network, natural selection, nature, organic matter, proof of work, reason, recycling, research, sustainability, technology, waste
Francis deSouza
President & CEO at Illumina
ai, amniocentesis, bill & melinda gates foundation, biopsy, biosecurity, bioterrorism, business event, cancer, centers for disease control and prevention, chronic condition, climate change, climate change mitigation, computer security, conference, coronavirus, coronavirus disease 2019, covid-19 pandemic, crispr, data sharing, disease surveillance, dna, dna sequencing, ebola, emerging tech, entrepreneur conference, epidemic, gene therapy, genetics, genome, genome editing, genomics, health professional, health system, illumina, infection, influenza, influenza-like illness, innovation, institute, leadership, machine learning, margaret hamburg, medical diagnosis, medical error, medication, milken, ml, one health, organ transplantation, pandemic, pathogen, pharmaceutical industry, pneumonia, pregnancy, public health, public–private partnership, quarantine, screening (medicine), sequencing, severe acute respiratory syndrome, severe acute respiratory syndrome coronavirus 2, signs and symptoms, social distancing, surveillance, swine influenza, transmission (medicine), treatment of cancer, typhoid fever, vaccine, virus, whole genome sequencing, world health organization
Ratchakrit Ekamorndilok
Advisor to the chairman at THG International
adherence (medicine), ageing, aquaponics, autism, brain, cancer, cannabidiol, cannabis, cannabis (drug), cannabis indica, deep water culture, disease, ebb and flow, fish oil, food and drug administration, genetics, genotype, good manufacturing practice, gregor mendel, hash oil, health care, health claim, hemp, hybrid (biology), hydroponics, male, medical cannabis, medication, medicine, miracle, mitochondrion, neurology, papaya, pharmaceutical industry, pharmacist, phenotype, physician, regulatory compliance, reproduction, science, sea, sex, sex linkage, soybean, strain (biology), tetrahydrocannabinol, vegetable, water
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