NTT Research Names Joe Alexander Distinguished Scientist in its MEI Lab

May 21, 2020

PALO ALTO, Calif., May 21, 2020 – NTT Research, Inc., a division of NTT, announced that it has named Joe Alexander, M.D., Ph.D., as Distinguished Scientist in its Medical and Health Informatics (MEI) Lab. Dr. Alexander, who is also a Fellow of the American College of Cardiology, joined NTT Research in February 2020, after 18 years with Pfizer, Inc., where he most recently served as senior medical director, global medical affairs. He also worked for two years at Merck, Inc., and spent eight years at Vanderbilt University, where he completed a two-year residency in internal medicine and served as a professor of medicine and biomedical engineering.  Dr. Alexander obtained his M.D. and Ph.D. (biomedical engineering) degrees at the Johns Hopkins Medical School. His post graduate training included fellowships at Albert Einstein College of Medicine in the Bronx and Kyushu University in Fukuoka, Japan. At NTT Research, he will lead the MEI Lab’s bio digital twin initiative.

Joe Alexander. Image courtesy of NTT Research.

“We are delighted to have Dr. Alexander as a permanent member on our research team,” said Professor Hitonobu Tomoike, M.D., Ph.D. “His academic and medical background, persistent work in data analysis and experience in the life sciences and pharmaceutical industry make him a perfect fit for helping us to achieve our exciting and ambitious goals at the MEI Lab.”

Under the direction of Dr. Tomoike, a cardiovascular medical scientist, the MEI Lab is targeting three fields: nano- or micro-scale sensors, in collaboration with the Technical University of Munich (TUM); innovative applications of artificial intelligence (AI) and analytics to digitized medical information; and precision medicine, which enables better distinctions between effective and ineffective treatments. Taken together, these components are prerequisites to the MEI Lab’s futuristic goal of leveraging the digital world and big data to predict the effect of treatment on individual patients via alter egos, or bio digital twins. The hoped-for outcome is more precise and finely tuned treatments.

“This is a tremendous opportunity to expand many of my interests and areas of expertise, including my long-standing work in medical data analysis and knowledge of cardiovascular dynamics,” said Dr. Alexander. “I am especially thrilled at having a five-to-ten year research horizon and look forward to leading the bio digital twin initiative, which I believe will evolve in three stages: first, an initial cardiovascular model focused on acute care; next, a more sophisticated dynamic model incorporating multiple systems and more suited for chronic care; and finally, a third-generation model associated with wellness in general.”

At Pfizer, Dr. Alexander served in various roles, including cardiovascular medical affairs, worldwide clinical imaging and measurement technologies, medical devices and pulmonary hypertension. In his most recent position, he created a virtual lab using advanced analytics and modeling methods connecting disparate data types in order to predict responders and non-responders to a market-leading drug. Over his tenure at Pfizer, Dr. Alexander each year took opportunities to conduct additional modeling and simulation research. Besides research on non-invasive glucose monitoring and methods better than QT prolongation for predicting serious arrhythmias, two other areas of Dr. Alexander’s research, conducted in collaboration with Argonne National Laboratory, involved the use of simulation to support management of neuropathic pain, and modeling based on CT scans for primary pulmonary hypertension. Dr. Alexander is the author or co-author of 94 publications.

The MEI Lab’s integration of medical data, systems engineering and AI not only promotes next-generation diagnostics and therapies; it also opens the door for synergies across the other NTT Research labs. Among the areas being explored in the Cryptography and Information Security (CIS) Lab, for instance, is homomorphic encryption, which allows for the analysis of encrypted (or private) data. The Physics and Informatics (PHI) Lab is engaged in quantum information systems, one application of which could be the solution of combinatorial optimization problems to advance new drug discovery.

The CIS and PHI Labs are also continuing to grow, both in external outreach and internal staffing. A new member of the CIS Lab is Hoeteck Wee, who holds a Ph.D. in computer science from UC Berkeley. He was previously a senior researcher at the French National Center for Scientific Research. Dr. Wee has co-authored more than 70 papers. His current research addresses new cryptographic challenges posed by Big Data and the internet.

About NTT Research

NTT Research opened its Palo Alto offices in July 2019 as a new Silicon Valley startup to conduct basic research and advance technologies that promote positive change for humankind. Currently, three labs are housed at NTT Research: the Physics and Informatics (PHI) Lab, the Cryptography and Information Security (CIS) Lab, and the Medical and Health Informatics (MEI) Lab. The organization aims to upgrade reality in three areas: 1) quantum information, neuro-science and photonics; 2) cryptographic and information security; and 3) medical and health informatics. NTT Research is part of NTT, a global technology and business solutions provider with an annual R&D budget of $3.6 billion.


Source: NTT Research

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Nvidia Showcases Work with Quantum Centers at ISC24

May 13, 2024

With quantum computing surging in Europe, Nvidia took advantage of ISC24 to showcase its efforts working with quantum development centers. Currently, Nvidia GPUs are dominant inside classical systems used for quantum sim Read more…

ISC24: Hyperion Research Predicts HPC Market Rebound after Flat 2023

May 13, 2024

First, the top line: the overall HPC market was flat in 2023 at roughly $37 billion, bogged down by supply chain issues and slowed acceptance of some larger systems (e.g. exascale), according to Hyperion Research’s ann Read more…

Top 500: Aurora Breaks into Exascale, but Can’t Get to the Frontier of HPC

May 13, 2024

The 63rd installment of the TOP500 list is available today in coordination with the kickoff of ISC 2024 in Hamburg, Germany. Once again, the Frontier system at Oak Ridge National Laboratory in Tennessee, USA, retains its Read more…

Harvard/Google Use AI to Help Produce Astonishing 3D Map of Brain Tissue

May 10, 2024

Although LLMs are getting all the notice lately, AI techniques of many varieties are being infused throughout science. For example, Harvard researchers, Google, and colleagues published a 3D map in Science this week that Read more…

ISC Preview: Focus Will Be on Top500 and HPC Diversity 

May 9, 2024

Last year's Supercomputing 2023 in November had record attendance, but the direction of high-performance computing was a hot topic on the floor. Expect more of that at the upcoming ISC High Performance 2024, which is hap Read more…

Processor Security: Taking the Wong Path

May 9, 2024

More research at UC San Diego revealed yet another side-channel attack on x86_64 processors. The research identified a new vulnerability that allows precise control of conditional branch prediction in modern processors.� Read more…

ISC24: Hyperion Research Predicts HPC Market Rebound after Flat 2023

May 13, 2024

First, the top line: the overall HPC market was flat in 2023 at roughly $37 billion, bogged down by supply chain issues and slowed acceptance of some larger sys Read more…

Top 500: Aurora Breaks into Exascale, but Can’t Get to the Frontier of HPC

May 13, 2024

The 63rd installment of the TOP500 list is available today in coordination with the kickoff of ISC 2024 in Hamburg, Germany. Once again, the Frontier system at Read more…

ISC Preview: Focus Will Be on Top500 and HPC Diversity 

May 9, 2024

Last year's Supercomputing 2023 in November had record attendance, but the direction of high-performance computing was a hot topic on the floor. Expect more of Read more…

Illinois Considers $20 Billion Quantum Manhattan Project Says Report

May 7, 2024

There are multiple reports that Illinois governor Jay Robert Pritzker is considering a $20 billion Quantum Manhattan-like project for the Chicago area. Accordin Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

How Nvidia Could Use $700M Run.ai Acquisition for AI Consumption

May 6, 2024

Nvidia is touching $2 trillion in market cap purely on the brute force of its GPU sales, and there's room for the company to grow with software. The company hop Read more…

Hyperion To Provide a Peek at Storage, File System Usage with Global Site Survey

May 3, 2024

Curious how the market for distributed file systems, interconnects, and high-end storage is playing out in 2024? Then you might be interested in the market anal Read more…

Qubit Watch: Intel Process, IBM’s Heron, APS March Meeting, PsiQuantum Platform, QED-C on Logistics, FS Comparison

May 1, 2024

Intel has long argued that leveraging its semiconductor manufacturing prowess and use of quantum dot qubits will help Intel emerge as a leader in the race to de Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Leading Solution Providers

Contributors

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

Intel Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

How the Chip Industry is Helping a Battery Company

May 8, 2024

Chip companies, once seen as engineering pure plays, are now at the center of geopolitical intrigue. Chip manufacturing firms, especially TSMC and Intel, have b Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire