The work presented at the conference by Du and Shan is dedicated to diagnosing this degenerative joint disease. Their machine learning method specializes in analyzing 3-dimensional magnetic resonance imaging (MRI) images to detect osteoarthritis of the knee. This means that their research can help doctors detect the disease before patients experience permanent joint damage.
Along with presenting their own work, Du and Shan had the opportunity to network and listen to other top industry professionals speak about their areas of expertise.
Du says that one of the best parts of the conference was when “many researchers from different institutions stopped by, [asked] questions and discussed.”
“[CHASE2018] widened my sight, and deepened my cognition on the research and my knowledge,” Du explained, highlighting the impact the conference had on him.
Our Seidenberg students are accessing and working with technology that has the ability to innovate and to heal. With brilliant minds and abundant opportunities, Seidenberg students make worthwhile change.
As for the future of their work, Du said, “we will continue our work on exploring useful information to help [in the field of] predicting diseases.”
Du and Shan’s work will continue to carve out a path in the Pace community for other Seidenberg students to follow.
Ian Carvalho, a Seidenberg student in the process of obtaining an MS in Computer Science, is a student to watch. The award-winning individual spends his time volunteering and creating apps dedicated to assisting others when he has a free moment. His most recent success came from the Pace AirBnB Pricing Challenge where he won first place!
As an undergraduate student, Ian was fortunate enough to be the recipient of the Brazilian government-funded scholarship, Science Without Borders, which helped him study in the United States for a year. The scholarship led him to Pace University to pursue undergraduate and graduate degrees. After obtaining his Bachelor’s degree in Computer Science in 2016, Ian scored a Research Internship with IBM over the summer. When fall rolled around, he decided to stick around at Seidenberg for his graduate education, choosing to pursue a Masters in Computer Science.
So far, Ian has called his time at Seidenberg, “very intense.” As a Graduate student, Graduate Assistant for Dr. Juan Shan, and PIP Design Factory team member, it’s safe to say that his time has been exactly that—but he’s not done yet.
During his time as a Seidenberg student, he’s gone above and beyond in his extracurricular activities. Ian taught a workshop on iOS development in partnership with PCS, won first place in the App Design Contest with the Entrepreneurship Lab for his application Helpteer, and participated at a Humanitarian Hackathon hosted by Google to assist the non-profit, Techo, which seeks to overcome poverty in slums.
Most recently, Ian identifies himself as a volunteer, Agile NYC participant, and a Java tutor. Beyond those activities, he’s a freelance iOS and Game Developer and Senior Software Developer at BRQ Digital Solutions. Plus, he is working on his master’s thesis.
“Currently, I am writing my thesis on applying deep learning to assist medical imaging problems [such] as Breast Cancer detecting and Knee bone segmentation,” he explains.
All of Ian’s successes are considered a win for all of the Seidenberg community, but his first place win for the Pace AirBnB Pricing Challenge is definitely something to recognize.
The challenge was created by Professor Lala and sponsored by INFORMSon the Westchester campus. The goal of the competition, which was held through the platform Kaggle, was to create a machine learning program with the capability to predict the current price of a listing using the given Airbnb data. Students were encouraged to actively participate in order to make their entry the best possible.
“I participated very actively during the last week of the challenge,” Ian explains.
Ian developed an artificial intelligence model to predict rental pricings for Airbnb listings, and his role of actively participating during the last week led to his ultimate victory. But his triumph did not come easily. Ian detailed the process of testing different models to see which achieved the highest performance. In the end, he combined the results of several models to predict the closest result.
“The challenge consisted in analyzing a dataset with more than [just] variables as a number of beds, reviews, amenities, etc. from [an] Airbnb listing. Part of the dataset ([which was] used for training) had the pricing, which the model used to learn patterns,” he explains.
These analyses were not a one and done deal. Ian explains that he had to rework the model many times.
“After learning, the model would try to predict the prices in the testing dataset,” he explains. “Results would then be submitted to Kaggle, that would compare to the real results and assign a score. It sounds simple, in theory, but the work involved many steps and especially because I was working solo, it got very intense at first I would have to clean the data, remove useless columns, fill missing values and encode some of the data in a way that’s understandable to the model.”
The process was long, especially since Ian spent most of the last week of the challenge really cramming to achieve the best result. When he received that win in the end, all of his hard work and maximum effort worth it. When asked about how he felt about winning, Ian summed it up with one word: “amazing.”
“I knew I had a good result because of the way that the competition works. They show a public partial leaderboard and when the competition finishes they disclose the complete result,” Ian explained. “So it could be possible that someone at the first place in the public leaderboard would be placed in second in the final score. So until the last minute, I was trying to improve my model to make sure I would win.”
As for his overall experience, Ian would recommend it to anyone.
“It’s very rewarding. When I first started, I wasn’t expecting to win, as this was my first challenge of the kind, but I got good results and they kept improving with every submission. I learned a lot and it was very fun,” he notes.
Seidenberg students have numerous opportunities throughout the school year to compete in tech challenges, Hackathons, and much more! Make sure you check in with our social media to see what challenges are coming up next.
Tianyu Wang, a Ph.D. Candidate studying Data Science at Pace University, is a cybersecurity specialist and financial professional in the making. The Seidenberg student has obtained not one, but two Masters of Science in Computer Science and Financial Management as well as a Ph.D. in Philosophy. Now he’s on the path of getting his next Ph.D. in Data Science. His extensive education has brought him numerous roles tailored to his professional career, but his latest role might just be his most impressive: Data Scientist Intern at IBM.
The Westchester campus student worked his way up from the position of Coach for National Collegiate Cyber Defense Competition (CCDC) at Pace University to Lab Course Instructor, Teaching Assistant, Research Lab Network Administrator, and finally to where he is now: Graduate Research Assistant. Tianyu has held positions at Mount Sinai Health System as a Data Security Intern and at Human Rights Watch as an Intern in the Department of Finance Operations. Now an internship at IBM is adding to his extensive resume of knowledge and experience. Tianyu had a lot to say about the opportunities he scored through this dream job.
First, it’s important to note what data science is all about. According to Tianyu, the career route consists of three things: math/statistics, coding, and research. While at IBM, he notes that his day-to-day job tasks included “obtaining data, cleaning it, analyzing it and communicating actionable insights for decision making.”
“My impression from data science is that the work is highly intellectually satisfying and the results of your work are highly tangible,” he explains. “It means that there is faster feedback and a highly tangible connection between your work and outcomes.”
Tianyu explains that there are differences between coding for school and coding for work. He notes that “framework should not only solve the problem for a current project but also provide a potential capability to address a similar problem for other teams in the future. For example, codes should easily be extended and adapted for the new functionalities. It should be able to maintain reliability, safety, or security of the new application for the whole team.”
Tianyu explains that being proactive is important, and that “opportunities always come with risks, but it is worthwhile for young people. Continue learning something new [and it] will absolutely lower the risks.”
He also recommends that students should look into the Career Services system: “students would learn a lot from [their] career counselors. Then, get a job and start the path with what you learn from it. Keep refreshed with latest technologies, and keep researching the market requirements. It will help a student stay off [their] comfort zone.”
So stay proactive, learn from your internships and classes, and stay refreshed with the latest technologies and research. There’s a lot that one can do to score that coveted internship with a top tech company. Tianyu’s advice is useful for anyone looking to dive into a high-end technological or financial career. We’re happy to share Tianyu’s story and helpful advice to further your story as well!
Swimming and computer science don’t have much in common, but when a Seidenberg student wins an award for academic and athletic success, they intersect quite well. Jana Ciric is a junior Computer Science major and Division II Swim Team member on the Westchester campus. She just earned the Northeast-10 Conference Women’s Swimming and Diving Sport Excellence Award for the second year in a row.
The third-year student explains that she started swimming when she was in the third grade; “when I was a little kid, my parents would take me to Greece every year and all I wanted to do was play in the water. They helped me make the right choice and choose swimming when I was ready to take on a sport.”
Growing up, Jana was on Serbia’s National Swimming Team for four years. During that time, she participated in European regional meets, like the Balkan Junior Championship, where she won the silver medal in the 50-meter freestyle. She was also the captain of the “Sveti Nikola” swimming club in Serbia for six years, helping to coach and organize a team of ten swimmers for practices and swim meets.
She notes that her time swimming for Pace has been excellent, but it definitely differs from her experience in Europe: “at Pace, we have dual meets every week, but very little championship meets (one or two per year), whereas in Europe we have championships more often but have no dual meets.”
The amount of time she spends with the Pace Swimming and Diving team has allowed her to form close friendships that she considers the most important part of her experience.
“I consider my team to be the closest thing I have to home since I am really far from home,” she explains.
Even with the homesickness that she endures, Jana found time to rack up quite a list of accomplishments. She holds six (out of over 20) of Pace University’s swimming records, earned Dean’s List First Honors for Fall 2018, completed a spring internship as a Junior Programmer/Analyst at Central National Gottesman, and lined up an exciting internship at AQR Capital Management for this summer. She also did all of this while working as a Tutor the Pleasantville Tutoring Center and a Student Assistant for the Athletic Department! Maintaining those records, grades, and workload is not easy.
“I have always had a really good work ethic and determination. Once I set my mind on something, I work really hard until I get it,” Jana notes. “I have unconditional support from my family which has been pushing me to do better every day. Even though they are almost 5,000 miles away they are always with me, helping me to achieve my dreams.”
How does it feel to earn her second straight NE10 Swimming and Diving Sport Excellence Award? Jana says that it “feels amazing,” and rightfully so.
“I am really proud to have won that award again since I put a lot of emphasis on my education. I am a student first and an athlete second. I wouldn’t have even come to the U.S. if it weren’t for my passion for academics and education (as well as swimming). This is why I think this award is so important to me – it really celebrates why all of us are here at college: to get a better education.”
Jana’s success is a success for all of Seidenberg. Her hard work showcases just how possible it is to obtain friendship, accomplishments, and a degree while being a student-athlete, intern, and employee. We’re proud to show off all that Jana does within the Pace community!
Jana would like to note that she really appreciates that Dean Hill and Andreea attend her swim meets and cheer her on. You can always check the swim team schedule to see when Jana will be competing. We’re sure that she’d love to have a crowd there cheering her on.
Rebecca D’Agostino, a Graduate Assistant and student graduating in May with a Masters of Science degree in Computer Science, is a very accomplished student of the Seidenberg School. In early March, she traveled to California to attend the TensorFlow Dev Summit, a top machine learning conference.
Rebecca was able to attend the 3rd year of this annual summit thanks to a travel grant paid by Google’s Women Techmakers program. The event focused on the release of TensorFlow 2.0, the newest form of the machine learning library created by Google.
According to Rebecca, the two-day summit program consisted of “a lot of talks, programming on the fly, demos, and just meeting the community. Sitting and programming together with the TensorFlow team was pretty cool.”
Rebecca said that one of the best parts of the conference were the gifts attendees received: “we got a really cool gift box that included, among other things, an Edge TPU and a new microcontroller board.”
The gifts will allow Rebecca to extend her knowledge of TensorFlow and Machine Learning in general. While the gifts were a bonus, Rebecca gained a great deal of educational experience at the summit, and she noted that the two days she spent there was a great time.
“I think the whole thing was amazing,” she explained. “Just meeting the team and the community that uses TensorFlow overall, and learning new things I wouldn’t know that were out there [was amazing].”
Rebecca’s time at the summit gave her a chance to further her education and network with other technologists. Seidenberg students have some wonderful opportunities for education both in and out of the classroom. Scholarships are a great way to attend conferences, summits, and much more that lie beyond the classroom. You can check out more scholarships from our previous blog post to find opportunities for yourself!
Pace University’s Design Factory students are always working on global problems that need innovative solutions. The students are teamed up, then have the opportunity to brainstorm and use “design thinking” methodology to take an idea from the drawing board to a working prototype. These students aren’t just dreaming of being the next wave of innovators, they already are.
Laina Posner—a Pace University junior majoring in computer science—has been a summer intern at UPS, a Grace Hopper Conference attendee, and a Pace University Nexus Maximus team member. She is also a design factory student who had the opportunity to go to Helsinki, Finland in October at the Aalto University Design Factory.
“I’ve been working with [the Design Factory] for the past two years, because that’s when [it] officially launched,” Laina states.
Of the Design Factory process overall, she explains: “It’s a big collaboration between different schools all over the country and also the world, but then also different majors as well. So each time I was assigned a project with a different team and I was always given a different task, so it was a great opportunity to become experienced in lots of different things.”
Last semester, Laina had the chance to start working on the PdP team with a start-up company. When she traveled to Finland, she had the opportunity to hear about what her team would be doing for the rest of her junior year.
“When I met them in September, we got a demo, met the team, and met the company. When we go back in May, we will be able to present our product. We’ll be able to see [the process] from start to finish. I’m working on the application part of it where I’ll be designing software to improve the already existing product that they have. Our other teammates will be working on the prototype,” she explains. “Right now I’m assigned on a permanent project where I’ll be working over the year, I’ll be working with a team from Finland with also NYC students. Our project is to work to create a prototype for a company. Our company is Pexray Tech, and they’re looking for a new innovation.”
Pexray Tech is a company that builds portable X-ray systems. The company is looking for a new project, so Laina and the rest of the team are at the forefront of that. The team has completed the beginning stages of the project where planning, research, and getting acquainted with one another is essential.
“It was really cool to have a connection with people that I had really never met over a product for a company that I was just introduced to. We’ve been able to work together since we met for the project, and building connections with other people was really cool,” she states.
Over the past few months, Laina and the rest of the team focused on using “design thinking” to build a working prototype for Pexray Tech. Currently, the team has two months left to create a product for Pexray Tech.
“We are current prototyping our project and in the developmental phase,” Laina explains.
Over the next two months, the team will finalize their product and have the chance to present it to the company. It will be a showcase of their hard work and innovation on a real-world solution.
Now, Laina just wants others to know about the opportunities one can gain through the Design Factory experience. While some students have been working with the Design Factory team for years, they’re always looking to recruit more students. They want more innovators and dreamers who can create solutions to real-world problems with real clients.
“It was very selective, so a lot of people didn’t know about it,” Laina stated of the application process. “I think a lot of students after I told them about it are very interested in it. I wish more people knew about it and more people could experience it, too. It is an amazing experience. Students are able to use their own personal knowledge of the field and implement their work into a project that they have worked on from start to finish.”
We’re hoping to get the word out about Pace University’s Design Factory and to get more students aware of this opportunity to innovate! If you’re interested in applying to be a design factory student, sign up for the mailing list!