MIT Future Health ~ Fall 2016 (Responses)
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TimestampFirst NameLast NameEmailSchool / DepartmentProgram / Year
Related Prior Experience
Geographic Interest(s)
Market Interest(s) ~ Economic Sector(s) including...
Technology Interest(s) ~ Enabling Methods including...
Future Health Proto-Concept(s)
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10/31/2016 11:14:19Hea YoungParkheapark@mit.eduMIT SloanMBA17TechAsiaPrenatal/BabycareMobiles
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10/31/2016 13:15:39ShutaroYoshikawashutaro@mit.eduMIT SloanSF17
Investment in food-tech, ag-tech companies
Global, US, Japan
Diagnostics, Venture Capital, Eye Health
metabolomic technologies, optics, wearables, analytics
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10/31/2016 14:01:09Antonio RobertoPaesbetopaes@mit.eduMIT SloanSF17Start-upGlobalPrevention
Home Blood Test - Check-up / Natural/Plant Medicine
* Quick test to find best diet and other quick routine and preventive tasks (sports etc.). Monitoring weekly and set up reminder.
* Search and scale up product 100% based on natural plant.
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10/31/2016 15:40:33CarloPerinicperini@mit.eduMIT SloanSF17
Manufacturing (non health care)
US, EuropeDiagnosticsRobotics/automation
I do not have yet ideas in mind for new ventures.
I've been an entrepeneur in different industries, sold the company i co-owned and managed for +20 years.
I am curious of new industries, including health care.
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10/31/2016 16:28:10BrendanMcCookbmmccook@mit.eduMIT SloanMBA17ConsultingNortheast AmericaPublic HealthBig Data
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10/31/2016 17:17:50AaronKelleyaekelley@mit.eduMIT SloanMBA17
Pharmaceutical, Pharmacy, Pharma distribution, Healthcare litigation
US
Population health, Insurance, Health tech
Analytics, Big data, Medical records, Mobile
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10/31/2016 18:34:04OmosalewaAdeyemioadeyemi@mit.eduMIT SloanMBA 17Healthcare, Consulting
Africa, Developing Economies
Emergency, Public Health, Preventive Care, Diagnostics Insurance, Access to Healthcare, Payments
Mobiles, Data, Analytics, Payments
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10/31/2016 20:39:55MichaelaJohnsonmcalnan@mit.eduMIT SloanMBA 2017
Econ Consulting - Healthcare focus
US
Ditigal health, consumer activation
Analytics
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10/31/2016 21:42:05LauraRenfrolrenfro@mit.eduMIT SloanMBA17
UnitedHealth/Optum; CVS Health; Dovetail Health (medication adherence focused)
United States, UK
Behavioral Health; End-of-Life; Caregiving; Digital Health
Machine Learning; Mobile; Data; Analytics
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10/31/2016 21:44:42MadelineGreenmmgreen@mit.eduMIT SloanMBA17healthcare ITUS, Global
Public Health, Insurance, Pre-natal, End-of-life, Ambulatory Medicine
Data analytics, medical records
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10/31/2016 22:36:06KateBarnardkbarnard@mit.edu
MIT Sloan & Harvard Kennedy
MBA17 MPA17
Pharma consulting, Provider consulting
Global, US
Public health, genomics, preventative medecine
data, analytics, ai
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11/1/2016 13:34:16SwatiRaoswatirao@mit.eduMIT Sloan 2017MBA 17StartupIndia
Pre-Natal/Babycare, Insurance, Medical Tourism
4048890615
Light weight mobile app for building awareness around pre/post natal care in rural parts of India with data subsidized by Pharma companies
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11/1/2016 13:34:25StephanieLiusjsliu@mit.eduMIT Sloan MBA 17 big pharma consulting
global, but experience is in Asia
consumer health, med devices, aging population, nursing homes
mobiles, data analytics
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11/1/2016 13:35:21SandhyaBhagwandinsandhyab@mit.eduMIT SloanMBA17Medical DevicesAfrica, Asia, US
Diagnostics, biotech, medical device, public health
open, mobile
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11/1/2016 13:36:42honeybajajhbajaj@mit.eduIDM2017HealthcareIndia, Africa
Diagnostics, Maternal health
Mobile, Data, Records
Jatch, by Avir Technologies, gives community health workers in developing countries the ability to collect advanced diagnostic information with a small hand-held device and a smartphone.
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11/1/2016 13:37:19TonySaffiertsaffier@mit.eduMIT SloanMBA17
Special Operations Medicine
US
Brain injury, chronic injury/illness management
mobile, connected health
I am building a mobile remote management platform for treating brain injury. This platform integrates existing clinical protocols in a single access point using cognitive tests, wearables, and patient/provider communication.
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11/1/2016 14:01:28JoyBuolamwinijoyab@mit.eduMedia LabMAS '17CTO / Founder Startups
Global, US, Africa, Ghana
Consumer Health. Hair Health
Wearables, Hair diagnostics
Facethegaze.com
Mitigating Algorithmic Bias in Healthcare
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11/1/2016 14:34:51ArthurSheynasheyn@mit.eduMIT SloanMBA17
Currently working on health-tech startup
US
Sports/Athletic, Children's health, Nursing Homes, Elderly, Preventative Health, Worker Health and Safety
Data Analytics, Smart Sensors
Currently working on a startup (check us out at splashband.io). My cofounder is an MIT research engineer, and has been developing a novel sensor here at MIT for the past 3 years that passively, non-invasively tracks a person's physiological hydration. We're hoping to reach proof of concept soon, and need help on the commercialization side. So if you have an interest in wearables and new sensors and the potential applications of the data streams created by those sensors, lets work together!
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11/1/2016 14:45:14SalimPeshawariasalimp@mit.eduMIT SloanMBA17PharmaGlobal, US, India, Africa
Public Health, Emergency Medicine, Diagnostics, Hospitals
Sustainable Nutrition (plant-based or cultured proteins), Bionics
Innovation Roadmap on sustainable protein
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11/1/2016 15:15:04BenLinville-Englerbenle@mit.eduMIT SDMSMD18
Mechanical, Electrical, and Software Medical Device Product Development, Manufacturing, Distribution, Service, and Sales
Global, US, Europe
Public Health,Hospitals, Preventative Health, Medical Device, Health Analytics, Post-Life
Mobile, Data Analytics, EMR, Fully-automated robotics, assited robotics, biomimetics, augmented reality, data mangement, and lots else
Not sure if this fits or if I would be up for presenting. It could be considered mental health or grievance support.

Auto-generation of a memorial slideshow for families after the passing of a loved one. I have personally put this kind of tribute together twice and it can be very time intensive in a very emotionally stressful time. I find it to be an area where modern facial recognition software and media tools can help to accomplish this in short period of time with a range of involvement from the family. Compilation of social media photos could be tied in to this.
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11/1/2016 15:38:35AlainEtienneAlaetien@mit.eduMIT SloanMSMS 17Consulting & StartupGlobal
Diagnostics, Public health, etc
Very broad (incl. AI, analytics, etc.)
- I would like to investigate new applications for 3D printing in health
- How can we use AI and more particularly visual recognition to improve diagnosis in new ways (dermatology, radiology, etc.)
- Apply the "beyond the pill" concept of IOT reminders to creams and lotions. Most people don't use their creams appropriately because they forget to take it just like pills. Perhaps building a prototype ?

Open to other ideas !
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11/1/2016 16:33:54MeeraKrishnamkrishna@mit.eduMIT SloanMBA17
digital health, start ups, product management
US
pre-natal/baby care, chronic conditions, mental health, end of life care, data organization
mobile, medical records, AI, analytics
big data + mental health
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11/1/2016 17:25:48IkmalMaharonikmalhm@mit.eduSloanMBA2017StartupASEAN
Low Income segment and Pets
Block Chain, Analytics, Fintech
None yet
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11/1/2016 17:27:54NainaSaxenanainas@mit.eduMIT SloanMBA 17Finance, ConsultingUS, India
Diagnostic, Insurance, Public Health
Mobiles, Data Analytics, medical records
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11/1/2016 18:33:08KevinMcCarthykevinjmc@mit.eduMIT SloanMBA17
Healthcare Services and Insurance PE
North America
Preventative Care, Behavioral Health
Addiction treatment insurance, EMR Interoperability
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11/1/2016 19:58:43DerekMissertmissert@mit.eduMIT SloanMBA17
biochemist, biotech, patient data analysis startup
US, EU
Improved therapy development, genetic data use, longitudinal patient data applications
EMR, data, therapy add-on tech
clinical trial design and execution is a big bottleneck in developing new therapies. I'd love to explore some way to make trials more accessible to the average person and patient, and engaging for the public as a whole. Thought being that many people who donate time and money to disease advocacy don't every see how the sausage is made, and some sunlight plus enhanced engagement could make the process more efficient.
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11/1/2016 21:43:49EvaBreitenbachebreit@mit.eduMIT SloanMBA17Tech, ConsultingUS
Mental Health, Holistic Medicine, Meditation
Wearables, Mobiles, Data
-Algorithm/app to match patients to therapists based on expertise, needs, and personality/style
-Wearable device to track stress levels for mental health patients, marking areas of high stress to be discussed in therapy sessions
-Meditation app targeted at specific population (for ex, patients with anxiety/depression/PTSD/kids)
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11/1/2016 22:16:39JimmyCerveauxjimmycer@mit.eduMIT SloanSF17
Healthcare (co-founder of Unicity)
US & EuropeEldercareApp
2 ideas:
-Scale up private duty Care Management through an Uber like system.
-Same as the above with home caregivers.
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11/1/2016 22:39:50JanBaronjanbaron@mit.eduMechanical EngineeringPhDResearch
Global, developing countries
Babycare, Emergency Medicine, Public Health, Hospitals, Diagnostics
Mobiles, Data, Analytics,
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11/1/2016 22:41:12BenjaminKaplanbkap25@mit.eduMIT SloanU19
Andrew Lo Vaccine Megafund UROP, Student-led bioengineering incubator
GlobalPublic Health
Genomics, Vaccines, etc.
Relate the up-and-coming genomics with vaccine development and the effect this relationship will have on more clearly monetizing emerging markets.
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11/1/2016 22:55:56NatharatMongkolsinhnatharat@mit.eduIDSS (TPP)TPP18
Biomedical engineering, Education
ASEAN, Thailand, developing countries
Elderly care, personal health, wearables, low cost diagnostics
Mobiles, big data, AI
Empowering patients to better handle personal health and fitness, primary healthcare, physical therapy, and injury prevention through use of data, data analysis, and data interpretation

Elderly fall prevention

3D printed exoskeleton as an improved replacement for braces and bands

Fatigue detection wearable/tech to reduce road accidents
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11/1/2016 23:31:11ChaoChenchaochen@mit.eduMIT SloanMBA17IT/BankingChinaInsuranceMobile, Data
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11/2/2016 8:44:08KanishkaNohriaknohria@mit.eduMITSDM17
Hospitals in India (6 yrs)
Both Developed and Emerging economies
In home Diagnostics
Continuos monitoring Sensors, Mobiles, Data, Analytics, Medical Records
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11/2/2016 9:12:45NitzanHaklainhaklai@mit.eduMIT SloanMBA17
Disease management tools, women's health, EMR
CambridgeHospitals, Diagnostics
Data, Analytics, Medical Records
Not yet, might be interested to create an innovation roadmap for big data in healthcare
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11/2/2016 9:36:53DavidPetersondavidlp@mit.eduMIT SloanMBA17Startup, VCUS
End of life, Public health, Diagnostics
AI and ML
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11/2/2016 12:17:17JackieVouthourisjaclynv@mit.eduMIT SloanMBA17
VC, startup operations, finance
GlobalNo preferenceNo preference
David Peterson and I plan to offer help to teams looking to pitch to VCs. We can assist with selecting VCs to target, working on pitch decks, etc.
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11/2/2016 12:32:34LaurenWhaleylwhaley@mit.edu
Knight Science Journalism Fellow
Fellow, 2016-17
Health Care Policy Journalist
US mostly, but open to others
Maternity, mental illness, public health, women's health, children's health, perinatal health of mother and baby
Mobiles, data/open data, tools for journalists
Nothing concrete. Apps for women that shows local maternity care practitioners and gives relevant stats like C-section rates, Baby-Friendly Hospitals, etc. Make screening for perinatal depression easier for practitioners and women alike. Monitor efforts to design a better breast pump. Survey of pregnancy-related apps (what do women really need?). Survey of first six-months of life related apps for parents (what do families really need?).
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11/2/2016 13:04:04JessicaLujesslu@mit.eduMIT SloanMBA17
Pharma, Research (Biomed engineering -- brain computer interfaces)
Global, US, China
Public Health, Pharma/Biotech, Med Device, Diagnostics
Analytics, Robotics, Data, Mobile, Optics
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11/2/2016 13:42:36RuizhiLiaoruizhi@mit.eduEECSPhDResearchGlobal, China
Pre-Natal/Babycare, Emergency Medicine, Public Health
Data Analytics
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11/2/2016 14:49:25NainaSharmans56@mit.eduMIT SloanMBA17
Some food startup experience
US, Global
Consumer Medicine, Nutrition/Food Health,
Wearables, Mobiles, Applications
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11/2/2016 15:19:58RyanStuntzrstuntz@mit.edu6-3U18
Worked at Patient-Provider startup
USA
Diagnostics, Public Health, Hospitals
Any and all. Data, Analytics, Medical Records, Big data, mobile tracking, mobile diagnostics
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11/2/2016 15:26:17NainaSharmans56MIT SloanMBA17Food, Digital MediaUS, GlobalNutrition,
Mobile, Consumer Techologies, Plant Based Proteins
Interested in a roadmap on future of protein
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11/2/2016 18:50:01RyanSwisherrdswish@mit.eduMIT SloanMBA17MilitaryUS
Preventative Health, Fitness
Analytics
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11/3/2016 13:43:39AmeliaTangameliatc@mit.eduMIT SloanSF17GovernmentCambridge
Public Health, Preventive Care, End-of-Life Care
Data
Nothing in mind, but interest is in developing products/prototypes/innovation roadmaps that will help reduce govt bill from healthcare/pressure on hospitals e.g. increase incentives to consume preventive care, offer better step-down care services including end-of-life care etc
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11/3/2016 15:41:18LeslieMartinleslietm@mit.eduMIT SloanMBA 2017
Tech, banking, consulting
Global, US, S. Africa, S. America
Diagnostics, Elderly, Pediatrics, Data Analytics
Varied - Mobile devices, data analytics, robotics
- Alzheimer's patients have trouble self-locating (Where am I? What day is it?), communicating physical health problems (UTIs, etc.), and may be easily lost if they wander/walk away from a caregiver. A wearable device that provides easily understandable information, tracks hydration and heart rate, as well as provides physical location information to providers could be very exciting
- People don't often know the names of their family member's medicines and relevant medical data that would be critical in an emergency. An app that can capture and hold such data among family members would be valuable, particularly for parents and adults with elderly parents.
- Pricing is so opaque for medical care. Insurance companies in Mass are required to provide an estimate, but it can vary substantially depending on the exact specifics. An app that directs people to specific practitioners by insurer can save money for the patient and insurer.
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11/4/2016 10:02:56JeffreyCooverjcoover@mit.eduMIT SloanMBA17
Summer Internship in Healthcare investment banking
US
Disabled Veteran's resources, devices
medical devices
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11/6/2016 12:52:45FlorianHillenhillen@mit.eduMIT IDSSTPP 18
Hospital, Startups (medical devices & health apps), VC, consulting
Europe and USA
Diagnostics, Digital Health, Predictive medicine
Machine Learning, Mobiles
Automated diagnosis of teeth related diseases using machine learning of x-ray scans supporting dentist practices on reducing number of type 2 errors.
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11/6/2016 20:14:05PriyankaChaturvedi
priyanka.genie01@gmail.com
MIT MBA 17
Consumer product companies
Africa, India
Emergency medicine, public health
Mobiles, data, paper
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11/6/2016 20:14:56AliciaChongachongr@mit.eduMIT IDM17
Semiconductor R&D, NGO, Startup
Global, LatAm,
Public Health, Diagnostics, Prevention, Telehealth
Analytics, wearables, medical-grade devices
women's heart health startup, bloomertech.com
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11/6/2016 21:40:08CameronMcCullycmccully@mit.eduMIT SloanMBA17Energy EfficiencyNorth America
Public health, hospitals, insurance
mobile healthcare, health "hacks" (cheap alternatives to costly procedures)
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11/7/2016 10:03:29KazIwamotoiwamotok@mit.eduMIT SloanSF17Telecom, InsuranceAsia, US
Public Health, Vital Data
MobilesNot yet
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11/7/2016 13:50:25VictoriaKushelevkushelev@mit.eduMIT Sloan2017ConsultingUS
Pre-Natal/Babycare, Public Health, Mental Health, Preventative health, holistic care
Data, Analytics, Predictive Analytics, Electronic Medical Records
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11/7/2016 15:21:14ChaoChenchaochen@mit.eduMIT SloanMBA17Tech/BankingChinaPublic Health/Hospitals
Mobile health and big data
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11/7/2016 17:40:23YiyiXiayxia@mit.eduMIT Sloan2017
Life Sciences Consulting
US, Global
Consumer, Telemedicine, Personal Medical Records
Mecial Records, Telemedicine, Consumer
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11/7/2016 19:26:43DarrenThomasonthomason@mit.eduMIT SloanMBA17
Consulting, health economics
US
Insurance, pharma, oncology
Analytics, IoT, data, mobile, medical records, telemedecine
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11/8/2016 10:24:32AlexKleinack0ack@mit.eduIDMIDM '18Design Consulting US
Mental Health, Preventative Medicine, Patient Experience, Biologics, Pharmaceutical Distribution
AI, VR, AR, Blockchain, Automation
I want to focus on the future of mental health--focusing on two main patient populations: the elderly and grief stricken individuals. I will spend most of my time researching trends (through secondary sources and primary interviews) and then visualizing future models of mental care.
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11/8/2016 10:26:35TusharGargtusharg@mit.eduMIT SloanMBA 17StartupIndia, USDiagnostics
Marketplace, Data, Analytics, Risk
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11/15/2016 13:48:11WilliamGreenwsgreen@mit.eduMIT SloanMBA17Tech DevelopmentUS
Preventative Care and Streamlining symptom to solution
Mobile, Automation, EMR
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5/1/2017 21:19:49MarkBradleybradleym@mit.eduSloanMBA 2018
Vertex Pharmaceuticals Intern, US Govt full time
US, Global
Public Health, Personalized Medicine
Data, Automation
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