Meet the ESRs: Sitong An

Hi there! I am Sitong An (安思同 in Chinese), Marie Skłodowska-Curie Fellow at CERN with project INSIGHTS and PhD student at Carnegie Mellon University (CMU). Originally from China, I left at the age of 16 and travelled the world for education. Currently, I’m working at CERN, Geneva, Switzerland, under the supervision of Dr. Sergei Gleyzer and Dr. Lorenzo Moneta. My Ph.D. advisor from CMU is Prof. Manfred Paulini. From September 2018, I will be working on Machine Learning/Deep Learning for Particle Physics for three years. I am immensely grateful to INSIGHTS and to my supervisors for giving me such a great opportunity to work in this exciting subfield.

A bit of background about me: I was born and raised in a small, nondescript city in northeastern China. As a kid, the thought of venturing overseas for education never crossed my mind. That was the case until 2009, when I was offered a scholarship (SM1) by the Singaporean government to attend high school in Singapore. It was a once-in-a-life opportunity, a rare window to the world outside, and yet it was also a daunting choice to go to a foreign country and learn to survive on my own. Eventually, this became the decision that changed the path of my life. I spent four intense and memorable years at Singapore, attending Catholic High School and Hwa Chong Institution. Till this day, I still feel a strong affinity for the dear “Little Red Dot”.

Singapore is an amazing city – you should visit if you’ve never been 🙂
Photo credit: Chensiyuan, Wikipedia

After my A-Levels there, I moved to U.K. for my undergraduate education at University of Cambridge, partially supported by scholarships from both the University and my college, Wolfson College Cambridge. I graduated in 2018 with a Bachelor of Arts and a Master of Natural Sciences (Physics). During my journey I was fortunate enough to have the opportunity to visit many places around the globe, including MIT for an exchange year abroad, and Weizmann Institute (Rehovot, Israel) and DESY (Hamburg, Germany) for internships. The coursework at Cambridge could feel gruesome and never-ending at times, but it was a privilege to wander about on the paths walked by Newton and Maxwell. Looking back, the three years I spent there were bittersweet, but still dream-like.

Call me biased – but for me Cambridge is the most beautiful university in the world
Photo credit: Sitong An, Commercial Rights Reserved

To work at CERN has been my dream and goal since high school. I remember the naive but passionate excitement I felt about the Higgs discovery while I was still a high school student. I remember seeing the advertisement on the CERN career website for the INSIGHTS position and thinking “this is exactly what I want to do!” I also remember attending the interview nervously, fully aware of the competitiveness of the position, and telling my future supervisors how much I care about making an impact in this field that I love, to the fullest of my abilities. And…voila, now I am here. As I sit in my office and type this blog post to tell you my story, I still can’t help but feel amazed at how these ten years passed by, and how that dream came true.

In the tunnel of Large Hadron Collider (LHC), CERN, Geneva, Switzerland
Photo credit: Andrés G. Delannoy

For these three years, I will devote roughly half of my time here to the development of deep learning algorithms for particle physics experiments. Specifically, currently I’m investigating the use of Graph Neural Network for event reconstruction at the new and upcoming High Granularity Calorimeter (HGCal) for the CMS Experiment. Reconstruction algorithms are an important step in the workflow of high energy physics experiments. They take raw data from the detectors and convert them into physical objects that physicists understand – like particles for example. Because of the sheer complexity of our detectors, deep learning holds promises in greatly enhancing the pattern recognition of our future reconstruction algorithms and empowering our detectors to make more precise measurements. This is, of course, a very brief and simplistic explanation, and I will describe this project in greater details in another technical blog post in the future.

An artist’s impression of the High Granularity Calorimeter, taken from the cover of the HGCal TDR (Technical Design Report).

The other half of my time will be spent on developing software tools in support of HEP-ML community – particle physicists who are developing and applying Machine Learning algorithms to their work. I am part of the ROOT team in the CERN EP-SFT group. ROOT is a data analysis framework widely used in the data workflow of high energy physics, and I will be contributing to ROOT-TMVA (Toolkit for Multivariate Data Analysis), the machine learning project within ROOT. My work will focus on modernisation of ROOT-TMVA, aiming to allow physicists develop and deploy machine learning models more easily with ROOT data. More details upcoming about this too.

Accelerating Science at CERN
Photo credit: Sitong An, , Commercial Rights Reserved

Apart from my technical work, I also care deeply about public engagement. High energy physics is a costly enterprise and what we’re doing would not be possible without public support. I am a CERN guide as well as a qualified guide to both CMS and ATLAS experiments. It is always an enjoyable experience to show visitors around and share our passion; to explain why we are doing this, why curiosity-driven fundamental research is important; and to see the awe-struck expressions of the visitors when they see the underground detectors for the first time. I also volunteer actively in CERN public activities, like CERN Opendays and TEDxCERN.

Volunteering for TEDxCERN, November 2018

If you’re interested in learning more about me, welcome to visit my website/blog by clicking here. It is still very simple and lacks much content at the moment, but I will furnish it with more details as my work progresses. You can also find ways to contact me there – feel free to reach out to me with questions or opportunities in Machine Learning.

If you’re a student or a teacher from a high school and interested in organising a virtual visit to CMS [more details], please do not hesitate to contact me for help too. (in Chinese) 如果你是来自中国或新加坡的初/高中老师或学生,并对组织远程虚拟访问活动来参观CERN地下实验感兴趣的话,我愿意帮忙协调组织和华语讲解 – 如有需要请联系我。关于远程虚拟参观,你可以点击这里了解更多(页面仅英文)

Looking forward to sharing more of my journey here – stay tuned!

Meet the ESRs: Serena Palazzo

Hi everybody!

My name is Serena Palazzo and I am an ESR at The University of Edinburgh
within the Innovative Training Network (INSIGHTS) program. My supervisor
is Michele Faucci Giannelli who gave me the possibility to join this network. 

I was born in the very south part of Italy, in Calabria and there I got my degrees
in Physics at the University of Calabria in Cosenza. My high school path was
focused on classical studies but, since that time, I started to be enthusiast
about physics and I decided to start my undergraduate studies in Physics.
During my bachelor path I started to be interested in particle physics and my
first collaboration in this field was within the hadronic calorimeter DREAM
community; I worked in this context for the calibration of this calorimeter.
Then, for my master degree I started working within the ATLAS collaboration.
My first project within the ATLAS collaboration was focused on the Phase-1
upgrade program of the Muon Sprectrometer of the experiment where I
contributed in testing the new MicroMegas chambers. During my master
thesis project I collaborated with researchers of the LNF laboratory (the Italian
laboratory of particle physics). This collaboration gave me the possibility to
learn a lot about the upgrade program of the ATLAS detector and to increase
my knowledges on particle physics. I changed then topic, moving from the
upgrade work to the measurements of cross sections. I started working
within the top quark working group of the ATLAS collaboration where I
contributed doing measurements of differential cross sections of the top
quark pairs. 

During my studies I won a scholarship (INFN-CERN associate simil fellow)
that gave me the possibility to spend 1 year at CERN. Spending this time at
CERN was very useful from the point of view of my career development; I had
the possibility to meet and collaborate with several reaserchers coming from
all the part of the world. 

About my work within the INSIGHT newtwork, while continuing work on top
quark measurements, I am learning new important techniques such as
Machine learning techniques that I am currently using for different projects. 
The network is without doubt a great opportunity for first years researchers to
enrich the research paths; it allows to have exachange of knowledges
between the ESRs as well as it offers the possibility to follow useful trainings
to consolidate and widen the knowledges. 

See you soon!

Meet the ESRs: Vasyl Hafych

Hello everybody!

My name is Vasyl, and it has been more than a year since I have started this amazing Ph.D. journey as an Early Stage Researcher as part of the INSIGHTS Innovative Training Network. One could say that my introduction is a year overdue, though during this year my research trajectory managed to converge, which means that I can introduce myself with more clarity.

I was raised in a small city located on the western side of Ukraine called Ivano-Frankivsk. For those who are not familiar with eastern Europe, this city is located close to the geographical center of Europe. This part of Ukraine is famous for the special role of national traditions and culture in people’s lives. Being very traditional, yet modern, this region attracts many tourists that want to visit the Carpathian mountains, go hiking, skiing or to eat the best Ukrainian food.

Ratusha is a rathaus in the downtown of the city of Ivano-Frankivsk at the city’s Market Square. [retrieved from:]

I left Ivano-Frankivsk and moved to Kyiv — the capital of Ukraine — when I turned 17, to pursue a bachelor’s degree in the department of Radiophysics, Electronics, and Computer Systems. It was my dad introducing me to electrical engineering when I was a child that first sparked my interest in physics. What I have always found so appealing about physics is a fundamental way of understanding how our world works. The creativity inherent in crafting and applying simple concepts for an explanation of complicated processes is what inspired me to study physics and to pursue a bachelor’s degree in the subject. It turned out much later that Artem and Vitaliy — which are my INSIGHTS colleagues — started studying there at the same time with me!

In addition to my interest in physics, I have always been fascinated by programming, especially in the context of physics. Many examples of this have fascinated me, such as seeing how the Boltzman or Vlasov equations can be numerically solved for the kinetic simulation of plasma, and seeing the wonders of protein folding obtained from computationally expensive Markov Chain Monte Carlo simulations. This interest never left me, only growing more profound and passionate with every new subject I took at university.

The Old Town Hall in Munich. The building was first mentioned in city records in 1310, and it was the seat of the Munich city council until 1847.

Inspired through my great love for physics and programming, my next step was completing a master’s degree in a program called Atomic Scale Modelling of Physical, Chemical, and Bimolecular Systems organized by the European Commission. My classmates and I have been living and studying in the Netherlands, Italy, and France. This was a remarkable experience that broadened all of our cultural and research horizons tremendously. I completed my final project at the European Center for Atomic and Molecular Calculations in Lausanne, where I have been working on the quantum free energy reconstruction using Langevin-guided Monte Carlo. This stimulated my current interest in Markov chain Monte Carlo methods, which — together with knowledge of all benefits of EU-funded scholarships — led me to apply for my Ph.D. at the INSIGHTS Innovative Training Network.

One can wonder what is my Ph.D. project about? Broadly speaking, it is a mixture of physics, statistics, and programming. I have the privilege of working on these topics at the Max Planck Institute for Physics in Munich, with supervision from Prof. Allen Caldwell and Dr. Oliver Schulz. Working in these conditions has allowed me to develop my research skills tremendously. From spending an overnight shift in the AWAKE control room at CERN collecting experimental data, to using hundreds of CPUs for massively parallel computing, the past year has brought a lot of new experiences to my life. I can keep writing much more about them, but instead, I encourage you to have a look at a paper on parallelization of the Markov chain Monte Carlo technique that we are planning to publish in the near future. There, you will be able to find a more detailed explanation of all the interesting things that we do.

Stay tuned!

Swans seem to be pretty common near Lake Geneva. This picture was taken during my secondment at CERN.

Meet the ESRs: Rahul Balasubramanian

Duck’s-eye view of the city of Amsterdam from the Amstel river. The city has more than 100 kilometres (60 miles) of canals which divides it into about 90 islands, which are linked by more than 1,200 bridges.

Hi, I’m Rahul from Chennai, India and I work at Nikhef in Amsterdam for the ATLAS experiment with Wouter Verkerke and Pamela Ferrari who have given me the opportunity to join the INSIGHTS program . I would like to use this post to describe I got the chance to be part of this network.

IIT Madras is spread over 620 acres and a large chunk of it is a protected forest. Running into spotted deers, black bucks, and other wildlife is a daily encounter and provides a unique experience whilst living on campus.

Rewinding back to the summer of 2012 when the discovery of the Higgs Boson was announced to the world, I vividly remember taking the first steps towards my undergrad institute in India. I was immediately attracted to the Engineering Physics program at the Indian Institute of Technology Madras and it was a fascinating amalgam of physics and electrical engineering. I was able to obtain a good foundation in these two fields thanks to excellent and challenging courses offered by the two departments. From learning how fundamental spin-1/2 particles were described by the Dirac equation- to understanding how transistors are used to design analog and digital circuits –I had been exposed to more than I could ask for !

Bird’s-eye view of the French Riviera. The region is rich in natural and cultural diversity.

My first project in physics was in the summer of my pre-final year of undergrad where I worked in Laboratoire Cote d’Azur in Nice on a project to measure the temperature gradient in the solar photosphere. My enthusiasm for physics grew by leaps and bounds after this and I pursued a couple of other projects in solar physics including my bachelor’s thesis where we built radio telescopes using off-the-shelf components to study solar radio-emissions.

The CERN summer student program offers a great opportunity to work at CERN and meet people from all around the world.

I had my first particle physics course in my final year and I found it exciting that we can answer fundamental questions about our universe using physics and state-of-the art technology. I had the privilege of being chosen as a CERN summer student to work with the LHCb experiment. I was energised by the environment at CERN, where I was able to meet people from all around the world working together on a common scientific pursuit.

I learned a lot about particle physics during my masters at University Paris-Saclay. The university is associated with large number of research laboratories in the region, giving access to a lot of researchers in the field. This not only benifits our learning experience but also provides the opportunity to work with during summer internships. I had the chance to work on experimental analysis project for the ALICE experiment in the first year and in a theoretical project on heavy-strange meson in lattice QCD in the second year.

I learnt a lot about physics and research from my mentors and the INSIGHTS project gives me the oppurtunity to continue this journey. It has been a busy first year and I hope I can be more active on the blog front in the future. Thanks !

INFN School of Statistics

The lecture programme of the INFN School of Statistics began today, June 3rd 2019 in Paestum, Salerno, Italy.

This edition has close to 100 participants, which is the record number for this series of schools, now at the 4th edition. Many ESRs from the Insights project are in Paestum and will participate in the school.

The programme includes introduction to probability, parameter estimate, hypothesis testing, multivariate analysis and machine learning with hands-on exercise session.

The social programme includes a visit of the greek temples and museum of Paestum, kindly offered by the Archeological Park of Paestum.

Here follows the list of lecturers:

  • Glen Cowan, Royal Holloway, University of London
  • Sergei Gleyzer, University of Florida
  • Eilam Gross, Weizmann Institute of Science
  • Mario Pelliccioni, INFN Torino
  • Harrison Prosper, Florida State University, Tallahassee
  • Aldo Solari, University of Milano-Bicocca