Jordan Harrod: Brain researcher and AI-focused YouTuber – MIT News
Scientist, writer, policy advocate, YouTuber before Jordan Harrod established her many successful career identities, her first role was as a student athlete. While she enjoyed competing in everything from figure skating to fencing, she also sustained injuries that left her with chronic pain. These experiences as a patient laid the groundwork for an interest in biomedical research and engineering. I knew I wanted to make tools that would help people with health issues similar to myself, she says.
Harrod went on to pursue her BS in biomedical engineering at Cornell University. Before graduating, she spent a summer at Stanford University doing machine-learning research for MRI reconstruction. I didnt know anything about machine learning before that, so I did a lot of learning on the fly, she says. I realized that I enjoyed playing with data in different ways. Machine learning was also becoming the new big thing at the time, so it felt like an exciting path to follow.
Harrod looked for PhD programs that would combine her interests in helping patients, biomedical engineering, and machine learning. She came across the Harvard-MIT Program in Health Sciences and Technology (HST) and realized it would be the perfect fit. The interdisciplinary program requires students to perform clinical rotations and take introductory courses alongside medical students. Ive found that the clinical perspective was often underrated on the research side, so I wanted to make sure Id have that. My goal was that my research would be translatable to the real world, Harrod says.
Mapping the brain to understand consciousness
Today, Harrod collaborates with professors Emery Brown, an anesthesiologist, and Ed Boyden, a neuroscientist, to study how different parts of the brain relate to consciousness and arousal. They seek to understand how the brain operates under different states of consciousness and the way this affects the processing of signals associated with pain. By studying arousal in mice and applying statistical tools to analyze large datasets of activated brain regions, for example, Browns team hopes to improve the current understanding of anesthesia.
This is another step toward creating better anesthesia regimens for individual patients, says Harrod.
Since beginning her neuroscience research, Harrod has been amazed to learn how much about the brain still needs to be uncovered. In addition to understanding biological mechanisms, she believes there is still work to be done at a preliminary cause and effect level. Were still learning how different arousal centers work together to modulate consciousness, or what happens if you turn one off, says Harrod. I dont think I realized the magnitude or the difficulty of the challenge, let alone how hard it is to translate our research to brains in people.
I didnt come into graduate school with a neuroscience background, so every day is an opportunity to learn new things about the brain. Even after three years, Im still amazed with how much we have yet to discover.
Sharing knowledge online and beyond
Outside of the lab, Harrod focuses her time on communicating research to the public and advocating for improved science policies. She is the chair of the External Affairs Board of the Graduate Student Council, an Early Career Policy Ambassador for the Society for Neuroscience, and the co-founder of the MIT Science Policy Review, which publishes peer reviewed reports on different science policy issues.
Most of our research is funded by our taxpayers, yet most people dont necessarily understand whats going on in the research that theyre funding, explains Harrod. I wanted to create a way so people could better understand how different regulations affect them personally.
In addition to her advocacy roles, Harrod also has a dedicated online presence. She writes articles for Massive Science and is well-known for her YouTube channel. Her videos, released weekly, investigate the different ways we interact with artificial intelligence daily. What began as a hobby three years ago has developed into an active community with 70,000 subscribers. I hadnt seen many other people talking about AI and machine learning in a casual way, so I decided to do it for fun, she says. Its been a great way to keep me looped into the broader field questions.
Harrods most popular video focuses on how AI can be used to monitor online exam proctoring. With the shift to online learning occurring during the pandemic, many students have used her video to understand how AI proctors can detect cheating. As the audience grows, its been exciting to read the comments and see people get curious about AI applications they had never heard of before. Ive also gotten to have interesting conversations with people who I wouldnt have come across otherwise, she says.
In the future, Harrod hopes to find a career that will allow her to balance her time between lab research, policy, and science communication. She plans on continuing to use her knowledge as a scientist to debunk hype and tell truthful stories to the public. Ive seen so many articles with headlines that could be misleading if someone only read the title. For example, a small study done in mice can be exaggerated to make mind-reading technology seem real, when the research still has a long way to go.
Since making my YouTube channel, Ive learned its important to give people reasonable expectations about whats real and what theyre going to encounter in their lives. They deserve to know the full picture so they can make informed decisions, she says.
See the rest here:
Jordan Harrod: Brain researcher and AI-focused YouTuber - MIT News
- RIT researchers use machine learning to better understand the pathways of disease - Rochester Institute of Technology - October 7th, 2025 [October 7th, 2025]
- Leveraging machine learning to predict mosquito bed net utilization among women of reproductive age in sub-Saharan Africa - Malaria Journal - October 7th, 2025 [October 7th, 2025]
- Machine learning-based radiomics using magnetic resonance images for prediction of clinical complete response to neoadjuvant chemotherapy in patients... - October 7th, 2025 [October 7th, 2025]
- Machine Learning Self Driving Cars: The Technology Driving the Future of Mobility - SpeedwayMedia.com - October 7th, 2025 [October 7th, 2025]
- Investigating the relationship between blood factors and HDL-C levels in the bloodstream using machine learning methods - Journal of Health,... - October 7th, 2025 [October 7th, 2025]
- AI in the fast lane: F1 teams Alpine, Audi use machine learning as force multiplier - The Business Times - October 7th, 2025 [October 7th, 2025]
- Future Scope of Machine Learning in Healthcare Market Set to Witness Significant Growth by 2025-2032 - openPR.com - October 7th, 2025 [October 7th, 2025]
- AI and Machine Learning - AI readiness and adoption toolkit launched - Smart Cities World - October 4th, 2025 [October 4th, 2025]
- Machine Learning Model UmamiPredict Developed to Forecast Savory Taste of Molecules and Peptides - geneonline.com - October 4th, 2025 [October 4th, 2025]
- Machine Learning Boosts Crop Yield Predictions in Senegal - Bioengineer.org - October 4th, 2025 [October 4th, 2025]
- Machine learning-driven stability analysis of eco-friendly superhydrophobic graphene-based coatings on copper substrate - Nature - October 4th, 2025 [October 4th, 2025]
- Integrated machine learning analysis of proteomic and transcriptomic data identifies healing associated targets in diabetic wound repair - Nature - October 4th, 2025 [October 4th, 2025]
- Development and evaluation of a machine learning prediction model for short-term mortality in patients with diabetes or hyperglycemia at emergency... - October 4th, 2025 [October 4th, 2025]
- Fast and robust mixed gas identification and recognition using tree-based machine learning and sensor array response - Nature - October 4th, 2025 [October 4th, 2025]
- Estimation of sexual dimorphism of adult human mandibles of South Indian origin using non-metric parameters and machine learning classification... - October 4th, 2025 [October 4th, 2025]
- Cloud-Based Machine Learning Platforms Technologies Market Growth and Future Prospects - Precedence Research - October 4th, 2025 [October 4th, 2025]
- Machine Learning Framework Developed to Optimize Phosphorus Recovery in Hydrothermal Treatment of Livestock Manure - geneonline.com - October 4th, 2025 [October 4th, 2025]
- Unifying machine learning and interpolation theory via interpolating neural networks - Nature - October 2nd, 2025 [October 2nd, 2025]
- Anna: an open-source platform for real-time integration of machine learning classifiers with veterinary electronic health records - BMC Veterinary... - October 2nd, 2025 [October 2nd, 2025]
- The Future of Liver Health: Can Human Models and Machine Learning Reduce Disease Rates? - Technology Networks - October 2nd, 2025 [October 2nd, 2025]
- Machine Learning Radiomics Predicts Pancreatic Cancer Invasion - Bioengineer.org - October 2nd, 2025 [October 2nd, 2025]
- Next-generation COVID-19 detection using a metasurface biosensor with machine learning-enhanced refractive index sensing - Nature - October 2nd, 2025 [October 2nd, 2025]
- Machine learning-based models for screening of anemia and leukemia using features of complete blood count reports - Nature - October 2nd, 2025 [October 2nd, 2025]
- Estimating the peak age of chess players through statistical and machine learning techniques - Nature - October 2nd, 2025 [October 2nd, 2025]
- Optimizing water quality index using machine learning: a six-year comparative study in riverine and reservoir systems - Nature - October 2nd, 2025 [October 2nd, 2025]
- Physics-informed machine learning-based real-time long-horizon temperature fields prediction in metallic additive manufacturing - Nature - October 2nd, 2025 [October 2nd, 2025]
- The Silicon Revolution: How AI and Machine Learning Are Forging the Future of Semiconductor Manufacturing - FinancialContent - October 2nd, 2025 [October 2nd, 2025]
- Machine learning model for differentiating Pneumocystis jirovecii pneumonia from colonization and analyzing mortality risk in non-HIV patients using... - October 2nd, 2025 [October 2nd, 2025]
- Radiomics and Machine Learning Applied to CECT Scans Show Potential in Predicting Perineural Invasion in Pancreatic Cancer - geneonline.com - October 2nd, 2025 [October 2nd, 2025]
- Machine learning and response surface optimization to enhance diesel engine performance using milk scum biodiesel with alumina nanoparticles - Nature - October 2nd, 2025 [October 2nd, 2025]
- Landmark Patent Appeal Decision Strengthens Protection for AI and Machine Learning Innovations - The National Law Review - October 2nd, 2025 [October 2nd, 2025]
- Machine learning researchers and industry leaders gathering at Santa Clara University - Stories - News & Events - Santa Clara University - September 30th, 2025 [September 30th, 2025]
- Building better batteries with amorphous materials and machine learning - Tech Xplore - September 30th, 2025 [September 30th, 2025]
- Machine Learning-Supported Fragment Hit Expansion in Absence of X-Ray Structures - Evotec - September 30th, 2025 [September 30th, 2025]
- Machine learning model predicts which radiotherapy patients are most vulnerable to adverse side effects - Health Imaging - September 30th, 2025 [September 30th, 2025]
- How AI and Machine Learning Are Revolutionizing Laser Welding - Downbeach - September 30th, 2025 [September 30th, 2025]
- What if A.I. Doesnt Get Much Better Than This? - Machine Learning Week 2025 - September 30th, 2025 [September 30th, 2025]
- Sex estimation from the sternum in Turkish population using various machine learning methods and deep neural networks - SpringerOpen - September 30th, 2025 [September 30th, 2025]
- Predictive AI Must Be Valuated But Rarely Is. Heres How To Do It - Machine Learning Week 2025 - September 30th, 2025 [September 30th, 2025]
- Interpretable machine learning incorporating major lithology for regional landslide warning in northern and eastern Guangdong - Nature - September 28th, 2025 [September 28th, 2025]
- Building Machine Learning Application with Django - KDnuggets - September 28th, 2025 [September 28th, 2025]
- Evaluating the use of body mass index change as a proxy for anorexia nervosa recovery: a machine learning perspective - Journal of Eating Disorders - September 28th, 2025 [September 28th, 2025]
- Prediction of cutting parameters and reduction of output parameters using machine learning in milling of Inconel 718 alloy - Nature - September 28th, 2025 [September 28th, 2025]
- How AI and machine learning are changing both retail and online casino experiences - Retail Technology Innovation Hub - September 28th, 2025 [September 28th, 2025]
- Machine learning and cell imaging combine to predict effectiveness of multiple sclerosis medication - Medical Xpress - September 25th, 2025 [September 25th, 2025]
- IC combines machine learning and analogue inferencing - Electronics Weekly - September 25th, 2025 [September 25th, 2025]
- ODU Awarded $2.3M NIH Grant to Improve Detection of Brain Tumor Recurrence with AI and Machine Learning - Old Dominion University - September 25th, 2025 [September 25th, 2025]
- Development of a machine learning-based depression risk identification tool for older adults with asthma - BMC Psychiatry - September 25th, 2025 [September 25th, 2025]
- AI and Machine Learning Uses in Neuroscience Drug Discovery, Upcoming Webinar Hosted by Xtalks - PR Newswire - September 25th, 2025 [September 25th, 2025]
- Error-controlled non-additive interaction discovery in machine learning models - Nature - September 23rd, 2025 [September 23rd, 2025]
- AI, Machine Learning Will Drive Market Data Consumption - Markets Media - September 23rd, 2025 [September 23rd, 2025]
- Machine Learning Model May Optimize Treatment Selection and Survival in HCC - Targeted Oncology - September 23rd, 2025 [September 23rd, 2025]
- From pixels to pumps: Machine learning and satellite imagery help map irrigation - Phys.org - September 23rd, 2025 [September 23rd, 2025]
- CMU physicist challenges what we know about particle physics with machine learning - The Tartan - September 23rd, 2025 [September 23rd, 2025]
- Hire Python Developers to Leverage the Power of Machine Learning & AI - WebWire - September 23rd, 2025 [September 23rd, 2025]
- AI-Powered Biology Careers in 2025: Opportunities with Machine Learning Skills - BioTecNika - September 23rd, 2025 [September 23rd, 2025]
- Machine learning and predictingstock price movements on NGX - Businessamlive - September 23rd, 2025 [September 23rd, 2025]
- Building a Hybrid Rule-Based and Machine Learning Framework to Detect and Defend Against Jailbreak Prompts in LLM Systems - MarkTechPost - September 21st, 2025 [September 21st, 2025]
- Development of a novel machine learning-based adaptive resampling algorithm for nuclear data processing - Nature - September 19th, 2025 [September 19th, 2025]
- Autobot platform uses machine learning to rapidly find best ways to make advanced materials - Tech Xplore - September 19th, 2025 [September 19th, 2025]
- 5 Key Takeaways | The Law of the Machine (Learning): Solving Complex AI Challenges - JD Supra - September 17th, 2025 [September 17th, 2025]
- Spectral and Machine Learning Approach Enhances Efficiency of Grape Embryo Rescue | Newswise - Newswise - September 17th, 2025 [September 17th, 2025]
- Helpful Reminders for Patent Eligibility of AI, Machine Learning, and Other Software-Related Inventions - JD Supra - September 17th, 2025 [September 17th, 2025]
- Opening the black box of machine learning-controlled plasma treatments - AIP.ORG - September 17th, 2025 [September 17th, 2025]
- Post-compilation Circuit Scaling for Quantum Machine Learning Models Reveals Resource Trends and Topology Impacts - Quantum Zeitgeist - September 17th, 2025 [September 17th, 2025]
- Machine-learning tool gives doctors a more detailed 3D picture of fetal health - Medical Xpress - September 17th, 2025 [September 17th, 2025]
- Portable Electronic Nose with Machine Learning Enhances VOC Detection in Forensic Science - Chromatography Online - September 15th, 2025 [September 15th, 2025]
- Developing a predictive model for breast cancer detection using radiomics-based mammography and machine learning - SpringerOpen - September 13th, 2025 [September 13th, 2025]
- and correlation of drug solubility via hybrid machine learning and gradient based optimization - Nature - September 11th, 2025 [September 11th, 2025]
- Rice-Houston Methodist partnership uses machine learning to reveal hidden patient groups in common heart valve disease - Rice University - September 11th, 2025 [September 11th, 2025]
- Amazon Uses Machine Learning to Tell Sellers if FBA Is a Good Fit - EcommerceBytes - September 11th, 2025 [September 11th, 2025]
- Eli Lilly Launches AI, Machine Learning Platform Called TuneLab For Biotech Companies - Stocktwits - September 11th, 2025 [September 11th, 2025]
- How AI and Machine Learning are Shaping the Future of Mobile Apps - indiatechnologynews.in - September 11th, 2025 [September 11th, 2025]
- Hybrid AI and semiconductor approaches for power quality improvement - Machine Learning Week 2025 - September 9th, 2025 [September 9th, 2025]
- The Predictive Turn | Preparing to Outthink Adversaries Through Predictive Analytics - Machine Learning Week 2025 - September 9th, 2025 [September 9th, 2025]
- NFL player props, odds and bets: Week 1, 2025 NFL picks, SportsLine Machine Learning Model AI predictions, SGP - CBS Sports - September 9th, 2025 [September 9th, 2025]
- Can machine learning forecast Lobo EV Technologies Ltd. recovery - Bear Alert & Daily Price Action Insights - Newser - September 6th, 2025 [September 6th, 2025]
- Generalised Machine Learning Models Outperform Personalised Models For Cognitive Load Classification In Real-Life Settings - Frontiers - September 6th, 2025 [September 6th, 2025]
- Machine learning for the prediction of blood transfusion risk during or after mitral valve surgery: a multicenter retrospective cohort study - Nature - September 6th, 2025 [September 6th, 2025]
- Machine Learning-Driven Exploration of Composition- and Temperature-Dependent Transport and Thermodynamic Properties in LiF-NaF-KF Molten Salts for... - September 6th, 2025 [September 6th, 2025]