ACM SIGHPC/Intel Computational & Data Science Fellowship Winners to Be Recognized at SC16

By Tiffany Trader

November 16, 2016

Last year at SC15 Intel announced a fellowship program in partnership with ACM SIGHPC aimed at increasing the participation of under-represented groups – women students and those with diverse racial and ethnic backgrounds – in computational and data science graduate programs worldwide. The 14 winners were announced in July and now those recipients will be formally recognized at the SC16 awards ceremony on Thursday, November 17, 12:45pm – 1:30pm.

The Fellowship includes a stipend of US$15,000 annually for five years with progress to be evaluated annually by ACM SIGHPC based on a brief report from each recipient.

Ahead of tomorrow’s awards presentation, we interviewed Cherri Pancake, vice president of ACM and Professor Emeritus of Electrical Engineering & Computer Science at Oregon State University, and Hugo Saleh, director of marketing and enabling, Scalable Datacenter Solutions Group, Intel.

HPCwire: When you look at the issue of diversity in HPC, what are the biggest needs and priorities you identify?

pancake_mar2016-400x
Cherri Pancake

Cherri Pancake: Our community faces two challenges here. The first is to grow the computing pipeline to meet the expanding demand. There aren’t figures specifically published about the demand for HPC professionals, but the Bureau of Labor statistics reports that we already have 200,000+ jobs in computing that aren’t being filled, and by 2022 that number will grow to about 1 million. Where are these new hires to come from? The big untapped pool is women and minorities, who account for two-thirds of the U.S. labor force but very little of the computing profession.

The second is to shape our community’s growth in such a way that the workforce will be representative of everyone who could use future HPC systems, software, and tools. To do that, we simply must increase the number of women and minorities pursuing careers in HPC-related fields. Doing so will also help ensure that future products leverage the most diverse and original ideas available.

These challenges can only be met by increasing the diversity of the computing workforce in general, and the HPC workforce in particular.

HPCwire: In the last few years, we’ve seen the launch of formal and informal efforts aimed at fostering broader engagement in HPC and IT more generally. Are you hopeful that a positive change is in motion?

Pancake: I am hopeful, but it takes more than a few years to know which efforts will work and can be grown into large-scale, successful programs. The good news is that we are observing a shift in the emphasis that organizations from all parts of our community are placing on these issues. There is a growing realization that we cannot build the kinds of products that will help people address global challenges effectively without a workforce encompassing the broadest possible set of skills and life experiences.

HPCwire: Can you explain the importance of the ACM SIGHPC/Intel Computational & Data Science Fellowships program to a young researcher’s career?

Pancake: We can’t overstate the importance of helping these exceptional students meet their financial needs. Candidates from underrepresented groups, in particular, often face financial obligations beyond those of university students in general, such as the need to contribute support to their families back home. The Fellowship funds help outstanding students close gaps in their educational funding, allowing them to focus more completely on their studies.

We also like to think of this program as providing graduate fellowships “with a twist” – that is, designed to capitalize on indicators of leadership as well as academic success. We recruit nominations on an international level, targeting students who not only would broaden diversity but also have a demonstrated track record of visibility and leadership (as mentors, role models, student leaders, etc.). To maximize the future impact of these students in changing workforce culture, we focus on disciplinary areas that typically require teamwork and strong communication skills as well as expertise.

Our hope is that by consistently selecting outstanding candidates for both their leadership and technical skills, the program will become a calling card for quality as these students graduate and enter the professional workforce.

HPCwire: What can you tell us about the first group of fellowship winners?

Pancake: To be honest, the evaluation committee was blown away by the quality of our first group of applicants. Selecting just fourteen winners from this talented pool was an extremely difficult task. The awardees are from the United States, Canada, and the United Kingdom, with about a third of the awards for study outside the US. About 85% are female and 30% are from minority groups that are typically underrepresented in computing. Three of the students are M.S. candidates, with the remainder pursuing PhDs. Five broad disciplinary areas are represented: biology and bioengineering, computational and computer science, geoscience and environmental engineering, materials science, and astronomy. Their 14 institutions span the spectrum of size and research ranking. They’re truly a stellar group.

HPCwire: Why is diversity in HPC/data science important, and important to Intel?

hugo-saleh-400x
Hugo Saleh

Hugo Saleh: HPC and data science are being applied to a growing range of challenges.  The more diverse points of view we can bring to bear on these challenges the better the solutions will be. Unfortunately, the technology industry has struggled with inclusiveness.  Here in America less than 15 percent of engineers are women and less than 4 percent of engineers are African American (source). Intel has a strong commitment to increasing female and under-represented minority representation in STEM fields, and the ACM SIGHC /Intel Computational and Data Science Fellowship is one way to help improve the diversity of the HPC community. This will not only open up amazing career opportunities for these talented individuals, but will also bring new perspectives and ideas to build a stronger, healthier society.

HPCwire: Why did Intel help create this fellowship and how does the program fit with the company’s overall mission/goals/culture?

Saleh: Intel’s mission is to make amazing experiences possible for every person on Earth, and part of this is a corporate commitment to improving the diversity of the tech industry. The ACM SIGHC /Intel Computational and Data Science Fellowship was created to help outstanding women and under-represented minorities gain advanced training in computational and data science so that they can apply these skills to solve problems that are important to all of us. We’re excited to see the impact that these new computational and data scientists will have.

Are there plans to award a new group of fellowships in the future? Is this annual?

Saleh: Intel has committed $300,000 per year for the next five years to fund the fellowship, and will work with SIGHPC, the ACM special interest group on High Performance Computing to manage the fellowship awards.  The fellowships are renewable for five years and new awards are expected each year.

Meet the 14 Winners…

intel-acm-sighpc-fellows
Winners of the ACM SIGHPC Intel Fellowship: (left-to-right, from top) Courtney Armour, Michael Barrow, Monica Chelliah, Dimah Dera, Cylita Guy, Samnigueka Halsey, Deborah Hanus, Jaye Harada, Irish Medina, Heather Peacock, Tahiry Rajaonarison, Meena Subramaniam, Victoria Tolls, Anna Wright.

Courtney Armour is a PhD student in the Molecular and Cellular Biology program at Oregon State University. As a researcher in Dr. Thomas Sharpton’s lab, Courtney uses high-throughput computational and statistical modeling techniques to determine how the diversity and function of the gut microbiome associates with human health. She also teaches courses in quantitative genomics.  Prior to arriving at OSU, Courtney earned a bachelor’s degree from Arizona State University in Biological Sciences with a minor in mathematics, obtained a Certificate in Applied Biostatistics from the University of Washington, and spent her free time studying viral replication. Courtney is also passionate about empowering young girls to pursue careers in STEM fields and volunteers with local outreach programs to expose elementary school girls to the fun and excitement of science, technology, and mathematics.

Michael Barrow is a Computer Science PhD student at UC San Diego under Professors Ryan Kastner and Sonia Ramamoorthy MD. His research focus is applied augmented reality in telemedicine and robotic surgery. He received a BEng and MSc from Bournemouth U and HKUST in Computer Engineering and Electronic Engineering respectively. Michael has varied experience in HPC and computer vision at Intel Corp, ARM research and Fusion Inc, which he co-founded in Hong Kong. His personal interests are diversity and education in computer science, which he engages in with student mentoring and educational research at UCSD.

Monica Chelliah is currently pursuing her MPhil in Scientific Computing at Cambridge University and is the recipient of the very first ACM SIGHPC/Intel Computational and Data Science Fellowship. She graduated from Mount Holyoke College with a Bachelor’s degree in both Chemistry and Computer Science. Monica also worked for two years as a developer at Schrodinger, a company that develops chemical simulation software, before heading off to graduate school. While Monica originally hails from India, she has lived and studied in several countries, including Sweden and Lebanon.

Dimah Dera’s research interests at Rowan University include biomedical and statistical signal and image processing, as well as biological and social network analysis and control. During her M.S. studies, she developed a novel automated multiresolution image segmentation approach. The aim of her MS project was to move the field towards image-based classification of brain tumor severity, incorporating image-derived measures into clinical decision-making and monitoring of therapy. The automated segmentation approach was able to detect different intricate regions in the brain (e.g., gray matter, white matter, tumor, necrosis and swelling), accurately delineated them and correlated their volumetric measures to clinical disability. The preliminary results of this segmentation approach have recently received the Best Paper Runner-up Award at the IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Cylita Guy is a PhD student in the Department of Ecology and Evolutionary Biology at the University of Toronto. Broadly interested in zoonotic diseases and their wildlife reservoirs, Cylita’s thesis focuses on bats and their pathogens. Using a combination of field surveys and computational methods she is investigating why bats seem to be so adept at carrying so many viruses. When she’s not in the field catching bats or at her computer analyzing data, you can find Cylita educating the public about diverse scientific topics at the Ontario Science Centre or hosting various bat-themed workshops and talks. Cylita hopes that with effective communication and enthusiasm, she can help others foster their own senses of curiosity and discovery about the natural world.

Samniqueka Halsey is currently a doctoral candidate in her third year at University of Illinois in the Program of Ecology, Evolution and Conservation Biology. Her research involves using computational modeling to understand the role wildlife hosts play in the spread of Lyme disease.  She obtained her Bachelor’s in Biology from Northeastern Illinois University and her Masters’ in Biological Science from Chicago State University. Before starting her Ph.D. program, Sam worked as a substitute teacher in Chicago and as an Adjunct Instructor at the College of Lake County teaching Environmental Biology. Her research experience includes working at the Morton Arboretum, first as a Conservation Biology Research Intern and then being promoted to a Research Assistant. Sam is serving as the outreach coordinator for STEMFem, a UIUC student organization aimed at empowering underrepresented women in STEM graduate studies. She has led several outreach events, including creating workshops teaching elementary-aged students to code using open source agent based models.

Deborah Hanus is a PhD candidate in Computer Science at Harvard University, where she uses machine learning to help doctors prescribe medications more effectively. Previously, as a Fulbright Scholar in Cambodia, she investigated how education translates to job creation, particularly in the technology sector. She received her undergraduate and master’s degrees in Computer Science from MIT, where her research focused on developing mathematical models of human visual perception.

Jaye Harada received her BS in physics from UC Santa Barbara in 2013.  Prior to graduate school, she worked in a materials science group at UCSB for two years.  She is currently a graduate student in the materials science and engineering department at Northwestern University. Her thesis work focuses on the computational study of structure-property relationships in mixed anion compounds.

Irish Medina is a graduate student at the University of Waterloo with a research focus on machine learning. Previously, she was involved in data mining research at the University of Manitoba and served as a bioinformatician at the Public Health Agency of Canada where she led the development of epidemiology software related to tracking antimicrobial resistance in the global population. In addition to being an ACM SIGHPC/Intel fellow, she is also the recipient of highly competitive and prestigious national and international scholarships, such as the NSERC Canada Graduate Scholarship and the Generation Google Scholarship for North America. Recently, she returned from an internship at Intel Corporation where she developed a flow-based programming tool for Intel’s design engineers. Currently, her research interests are in the area of applied machine learning.

Heather Peacock is a PhD student at Western University studying primate biogeography and conservation GIS. Previously, she completed her MSc at the University of Calgary (doing a conservation planning and modeling project for the lemurs of Madagascar) and her BSc in Wildlife Biology from McGill University. Heather’s current research involves a global GIS analysis of primate biogeography and extinction risk, looking at how primate distributions and diversity patterns have changed over time in response to forest habitat loss, to inform primate conservation. Heather was a significant co-author on a major “Policy Forum” publication in Science (2014) that dealt with lemur conservation – a commentary paper that received world-wide media attention, generated letters to Science and is widely cited in the current literature. She has a strong background in and passion for biodiversity, wildlife biology, environmental conservation, and geographic information science. She is an Esri Canada Scholarship recipient, an Esri GIS Ambassador for the London, Ontario area, and has developed a workshop for teachers emphasizing problem-based learning in GIS.

Tahiry A. Rajaonarison is a second year PhD student at Virginia Tech working in the Geodesy and Tectonophysics Lab in the Department of Geoscience.  Before moving to Virginia, Tahiry lived in his hometown Antananarivo, the capital of Madagascar and attended the University of Antananarivo where he obtained his Bachelors of Science in Physics (2010) and Masters of Science in Geophysics (2013). During this time, Tahiry became the first Malagasy expert in high precision tectonic geodesy and the first Malagasy student at the University of Antananarivo to complete a Master’s degree in English.  Soon after graduation, Tahiry was awarded a prestigious scholarship from the Abdus Salam International Center of Theoretical Physics (ICTP) in Italy. This scholarship was for participation in an intensive one-year pre-PhD program in Earth System Physics.  Tahiry’s academic year at ICTP taught him the important roles of data analysis and numerical modeling using high performance computing to solve geophysical problems. Tahiry’s current research focuses on testing the role of viscous asthenosphere-lithosphere in Madagascar using both new GPS observations of surface motions to quantify surface motions that he collects in Madagascar. and high performance computing with the code ASPECT to test the physics driving surface motions.

Meena Subramaniam is currently a third year graduate student at University of California San Francisco in the Biomedical Informatics program. She completed her undergraduate education at MIT in 2014, with a joint major in Computer Science and Molecular Biology. While at MIT, she worked in Ernest Fraenkel’s lab applying network flow algorithms to study protein-protein interactions. Currently, she is coadvised by Jimmie Ye and Noah Zaitlen at UCSF and plans to complete her thesis work on developing statistical methods for genetic data, specifically focusing on autoimmune diseases.

Victoria Tolls is currently a Master’s of Science student in the School of Computing at Queen’s University in Kingston, Ontario. She received her Bachelor’s degree in Bioinformatics in 2016 from Carleton University in Ottawa, Ontario. Victoria’s current area of research is biomedical informatics, with a particular focus on heart rate variability in the Intensive Care Unit. Her thesis work involves signal processing of physiologic waveforms, as well as machine learning approaches to investigate the effect of vasopressors on heart rate variability among critically ill patients.

Anna Wright is an astrophysics Ph.D. candidate at Rutgers University, where she uses high-resolution cosmological simulations to study the formation and evolution of dark matter dominated galaxies. She earned a B.S. in astrophysics from Rice University in 2014.

Subscribe to HPCwire's Weekly Update!

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

Data Vortex Users Contemplate the Future of Supercomputing

October 19, 2017

Last month (Sept. 11-12), HPC networking company Data Vortex held its inaugural users group at Pacific Northwest National Laboratory (PNNL) bringing together about 30 participants from industry, government and academia t Read more…

By Tiffany Trader

AI Self-Training Goes Forward at Google DeepMind

October 19, 2017

DeepMind, Google’s AI research organization, announced today in a blog that AlphaGo Zero, the latest evolution of AlphaGo (the first computer program to defeat a Go world champion) trained itself within three days to play Go at a superhuman level (i.e., better than any human) – and to beat the old version of AlphaGo – without leveraging human expertise, data or training. Read more…

By Doug Black

Researchers Scale COSMO Climate Code to 4888 GPUs on Piz Daint

October 17, 2017

Effective global climate simulation, sorely needed to anticipate and cope with global warming, has long been computationally challenging. Two of the major obstacles are the needed resolution and prolonged time to compute Read more…

By John Russell

HPE Extreme Performance Solutions

Transforming Genomic Analytics with HPC-Accelerated Insights

Advancements in the field of genomics are revolutionizing our understanding of human biology, rapidly accelerating the discovery and treatment of genetic diseases, and dramatically improving human health. Read more…

Student Cluster Competition Coverage New Home

October 16, 2017

Hello computer sports fans! This is the first of many (many!) articles covering the world-wide phenomenon of Student Cluster Competitions. Finally, the Student Cluster Competition coverage has come to its natural home: H Read more…

By Dan Olds

Data Vortex Users Contemplate the Future of Supercomputing

October 19, 2017

Last month (Sept. 11-12), HPC networking company Data Vortex held its inaugural users group at Pacific Northwest National Laboratory (PNNL) bringing together ab Read more…

By Tiffany Trader

AI Self-Training Goes Forward at Google DeepMind

October 19, 2017

DeepMind, Google’s AI research organization, announced today in a blog that AlphaGo Zero, the latest evolution of AlphaGo (the first computer program to defeat a Go world champion) trained itself within three days to play Go at a superhuman level (i.e., better than any human) – and to beat the old version of AlphaGo – without leveraging human expertise, data or training. Read more…

By Doug Black

Student Cluster Competition Coverage New Home

October 16, 2017

Hello computer sports fans! This is the first of many (many!) articles covering the world-wide phenomenon of Student Cluster Competitions. Finally, the Student Read more…

By Dan Olds

Intel Delivers 17-Qubit Quantum Chip to European Research Partner

October 10, 2017

On Tuesday, Intel delivered a 17-qubit superconducting test chip to research partner QuTech, the quantum research institute of Delft University of Technology (TU Delft) in the Netherlands. The announcement marks a major milestone in the 10-year, $50-million collaborative relationship with TU Delft and TNO, the Dutch Organization for Applied Research, to accelerate advancements in quantum computing. Read more…

By Tiffany Trader

Fujitsu Tapped to Build 37-Petaflops ABCI System for AIST

October 10, 2017

Fujitsu announced today it will build the long-planned AI Bridging Cloud Infrastructure (ABCI) which is set to become the fastest supercomputer system in Japan Read more…

By John Russell

HPC Chips – A Veritable Smorgasbord?

October 10, 2017

For the first time since AMD's ill-fated launch of Bulldozer the answer to the question, 'Which CPU will be in my next HPC system?' doesn't have to be 'Whichever variety of Intel Xeon E5 they are selling when we procure'. Read more…

By Dairsie Latimer

Delays, Smoke, Records & Markets – A Candid Conversation with Cray CEO Peter Ungaro

October 5, 2017

Earlier this month, Tom Tabor, publisher of HPCwire and I had a very personal conversation with Cray CEO Peter Ungaro. Cray has been on something of a Cinderell Read more…

By Tiffany Trader & Tom Tabor

Intel Debuts Programmable Acceleration Card

October 5, 2017

With a view toward supporting complex, data-intensive applications, such as AI inference, video streaming analytics, database acceleration and genomics, Intel i Read more…

By Doug Black

Reinders: “AVX-512 May Be a Hidden Gem” in Intel Xeon Scalable Processors

June 29, 2017

Imagine if we could use vector processing on something other than just floating point problems.  Today, GPUs and CPUs work tirelessly to accelerate algorithms Read more…

By James Reinders

NERSC Scales Scientific Deep Learning to 15 Petaflops

August 28, 2017

A collaborative effort between Intel, NERSC and Stanford has delivered the first 15-petaflops deep learning software running on HPC platforms and is, according Read more…

By Rob Farber

How ‘Knights Mill’ Gets Its Deep Learning Flops

June 22, 2017

Intel, the subject of much speculation regarding the delayed, rewritten or potentially canceled “Aurora” contract (the Argonne Lab part of the CORAL “ Read more…

By Tiffany Trader

Oracle Layoffs Reportedly Hit SPARC and Solaris Hard

September 7, 2017

Oracle’s latest layoffs have many wondering if this is the end of the line for the SPARC processor and Solaris OS development. As reported by multiple sources Read more…

By John Russell

US Coalesces Plans for First Exascale Supercomputer: Aurora in 2021

September 27, 2017

At the Advanced Scientific Computing Advisory Committee (ASCAC) meeting, in Arlington, Va., yesterday (Sept. 26), it was revealed that the "Aurora" supercompute Read more…

By Tiffany Trader

Google Releases Deeplearn.js to Further Democratize Machine Learning

August 17, 2017

Spreading the use of machine learning tools is one of the goals of Google’s PAIR (People + AI Research) initiative, which was introduced in early July. Last w Read more…

By John Russell

GlobalFoundries Puts Wind in AMD’s Sails with 12nm FinFET

September 24, 2017

From its annual tech conference last week (Sept. 20), where GlobalFoundries welcomed more than 600 semiconductor professionals (reaching the Santa Clara venue Read more…

By Tiffany Trader

Graphcore Readies Launch of 16nm Colossus-IPU Chip

July 20, 2017

A second $30 million funding round for U.K. AI chip developer Graphcore sets up the company to go to market with its “intelligent processing unit” (IPU) in Read more…

By Tiffany Trader

Leading Solution Providers

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

Amazon Debuts New AMD-based GPU Instances for Graphics Acceleration

September 12, 2017

Last week Amazon Web Services (AWS) streaming service, AppStream 2.0, introduced a new GPU instance called Graphics Design intended to accelerate graphics. The Read more…

By John Russell

EU Funds 20 Million Euro ARM+FPGA Exascale Project

September 7, 2017

At the Barcelona Supercomputer Centre on Wednesday (Sept. 6), 16 partners gathered to launch the EuroEXA project, which invests €20 million over three-and-a-half years into exascale-focused research and development. Led by the Horizon 2020 program, EuroEXA picks up the banner of a triad of partner projects — ExaNeSt, EcoScale and ExaNoDe — building on their work... Read more…

By Tiffany Trader

Delays, Smoke, Records & Markets – A Candid Conversation with Cray CEO Peter Ungaro

October 5, 2017

Earlier this month, Tom Tabor, publisher of HPCwire and I had a very personal conversation with Cray CEO Peter Ungaro. Cray has been on something of a Cinderell Read more…

By Tiffany Trader & Tom Tabor

Cray Moves to Acquire the Seagate ClusterStor Line

July 28, 2017

This week Cray announced that it is picking up Seagate's ClusterStor HPC storage array business for an undisclosed sum. "In short we're effectively transitioning the bulk of the ClusterStor product line to Cray," said CEO Peter Ungaro. Read more…

By Tiffany Trader

Intel Launches Software Tools to Ease FPGA Programming

September 5, 2017

Field Programmable Gate Arrays (FPGAs) have a reputation for being difficult to program, requiring expertise in specialty languages, like Verilog or VHDL. Easin Read more…

By Tiffany Trader

IBM Advances Web-based Quantum Programming

September 5, 2017

IBM Research is pairing its Jupyter-based Data Science Experience notebook environment with its cloud-based quantum computer, IBM Q, in hopes of encouraging a new class of entrepreneurial user to solve intractable problems that even exceed the capabilities of the best AI systems. Read more…

By Alex Woodie

HPC Chips – A Veritable Smorgasbord?

October 10, 2017

For the first time since AMD's ill-fated launch of Bulldozer the answer to the question, 'Which CPU will be in my next HPC system?' doesn't have to be 'Whichever variety of Intel Xeon E5 they are selling when we procure'. Read more…

By Dairsie Latimer

  • arrow
  • Click Here for More Headlines
  • arrow
Share This